{"id":238803,"date":"2025-12-18T06:44:37","date_gmt":"2025-12-18T06:44:37","guid":{"rendered":"https:\/\/www.europesays.com\/ie\/238803\/"},"modified":"2025-12-18T06:44:37","modified_gmt":"2025-12-18T06:44:37","slug":"higher-order-interactions-shape-collective-human-behaviour","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ie\/238803\/","title":{"rendered":"Higher-order interactions shape collective human behaviour"},"content":{"rendered":"
  • \n

    Christakis, N. A. & Fowler, J. H. Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives (Little, Brown, 2009).<\/p>\n<\/li>\n

  • \n

    Easley, D. & Kleinberg, J. Networks, Crowds, and Markets (Cambridge Univ. Press, 2010).<\/p>\n<\/li>\n

  • \n

    Moreno, J. L. & Jennings, H. H. Statistics of social configurations. Sociometry 1<\/b>, 342\u2013374 (1938).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Granovetter, M. S. The strength of weak ties. Am. J. Sociol. 78<\/b>, 1360\u20131380 (1973).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Milgram, S. The small world problem. Psychol. Today 2<\/b>, 60\u201367 (1967).<\/p>\n


    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Newman, M. E. J. Networks: An Introduction (Oxford Univ. Press, 2010).<\/p>\n<\/li>\n

  • \n

    Estrada, E. The Structure of Complex Networks: Theory and Applications (Oxford Univ. Press, 2011).<\/p>\n<\/li>\n

  • \n

    Barab\u00e1si, A.-L. & P\u00f3sfai, M. Network Science (Cambridge Univ. Press, 2016).<\/p>\n<\/li>\n

  • \n

    Latora, V., Nicosia, V. & Russo, G. Complex Networks: Principles, Methods and Applications (Cambridge Univ. Press, 2017).<\/p>\n<\/li>\n

  • \n

    Atkin, R. H. From cohomology in physics to q-connectivity in social science. Int. J. Man Mach. Stud. 4<\/b>, 139\u2013167 (1972).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Atkin, R. Mathematical Structure in Human Affairs (Heinemann Educational, 1974).<\/p>\n<\/li>\n

  • \n

    Berge, C. Graphs and Hypergraphs (North-Holland Pub. Co., 1973).<\/p>\n<\/li>\n

  • \n

    Le Bon, G. The Crowd: A Study of the Popular Mind (Routledge, 1895).<\/p>\n<\/li>\n

  • \n

    Simmel, G. The number of members as determining the sociological form of the group. II. Am. J. Sociol. 8<\/b>, 158\u2013196 (1902).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Lewin, K. Principles of Topological Psychology (McGraw-Hill, 1936).<\/p>\n<\/li>\n

  • \n

    Wasserman, S. & Faust, K. Social Network Analysis: Methods and Applications. Structural Analysis in the Social Sciences (Cambridge Univ. Press, 1994).<\/p>\n<\/li>\n

  • \n

    Battiston, F. et al. Networks beyond pairwise interactions: structure and dynamics. Phys. Rep. 874<\/b>, 1\u201392 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Milo, R. et al. Network motifs: simple building blocks of complex networks. Science 298<\/b>, 824\u2013827 (2002).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Girvan, M. & Newman, M. E. J. Community structure in social and biological networks. Proc. Natl Acad. Sci. USA 99<\/b>, 7821\u20137826 (2002).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Fortunato, S. Community detection in graphs. Phys. Rep. 486<\/b>, 75\u2013174 (2010).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Aleksandrov, P. S. Combinatorial Topology Vol. 1 (Courier Corporation, 1998).<\/p>\n<\/li>\n

  • \n

    Salnikov, V., Cassese, D. & Lambiotte, R. Simplicial complexes and complex systems. Eur. J. Phys. 40<\/b>, 014001 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Newman, M. E. J., Strogatz, S. H. & Watts, D. J. Random graphs with arbitrary degree distributions and their applications. Phys. Rev. E 64<\/b>, 026118 (2001).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gomez-Gardenes, J., Romance, M., Criado, R., Vilone, D. & S\u00e1nchez, A. Evolutionary games defined at the network mesoscale: the public goods game. Chaos Interdiscip. J. Nonlinear Sci. 21<\/b>, 016113 (2011).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Grabowski, A. & Kosi\u0144ski, R. Epidemic spreading in a hierarchical social network. Phys. Rev. E 70<\/b>, 031908 (2004).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Benson, A. R. Three hypergraph eigenvector centralities. SIAM J. Math. Data Sci. 1<\/b>, 293\u2013312 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Tudisco, F. & Higham, D. J. Node and edge nonlinear eigenvector centrality for hypergraphs. Commun. Phys. 4<\/b>, 201 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Benson, A. R., Abebe, R., Schaub, M. T., Jadbabaie, A. & Kleinberg, J. Simplicial closure and higher-order link prediction. Proc. Natl Acad. Sci. USA 115<\/b>, E11221\u2013E11230 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Lotito, Q. F., Musciotto, F., Montresor, A. & Battiston, F. Higher-order motif analysis in hypergraphs. Commun. Phys. 5<\/b>, 79 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Lotito, Q. F., Musciotto, F., Battiston, F. & Montresor, A. Exact and sampling methods for mining higher-order motifs in large hypergraphs. Computing 106<\/b>, 475\u2013494 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Chodrow, P. S., Veldt, N. & Benson, A. R. Generative hypergraph clustering: from blockmodels to modularity. Sci. Adv. 7<\/b>, eabh1303 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Eriksson, A., Edler, D., Rojas, A., de Domenico, M. & Rosvall, M. How choosing random-walk model and network representation matters for flow-based community detection in hypergraphs. Commun. Phys. 4<\/b>, 133 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Contisciani, M., Battiston, F. & De Bacco, C. Inference of hyperedges and overlapping communities in hypergraphs. Nat. Commun. 13<\/b>, 7229 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ruggeri, N., Contisciani, M., Battiston, F. & De Bacco, C. Community detection in large hypergraphs. Sci. Adv. 9<\/b>, eadg9159 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Tudisco, F. & Higham, D. J. Core\u2013periphery detection in hypergraphs. SIAM J. Math. Data Sci. 5<\/b>, 1\u201321 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Cencetti, G., Battiston, F., Lepri, B. & Karsai, M. Temporal properties of higher-order interactions in social networks. Sci. Rep. 11<\/b>, 7028 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Di Gaetano, L., Battiston, F. & Starnini, M. Percolation and topological properties of temporal higher-order networks. Phys. Rev. Lett. 132<\/b>, 037401 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gallo, L., Lacasa, L., Latora, V. & Battiston, F. Higher-order correlations reveal complex memory in temporal hypergraphs. Nat. Commun. 15<\/b>, 4754 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Iacopini, I., Karsai, M. & Barrat, A. The temporal dynamics of group interactions in higher-order social networks. Nat. Commun. 15<\/b>, 7391 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Lotito, Q. F. et al. Hypergraphx: a library for higher-order network analysis. J. Complex Netw. 11<\/b>, cnad019 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Landry, N. W. et al. XGI: a Python package for higher-order interaction networks. J. Open Source Softw. 8<\/b>, 5162 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Praggastis, B. et al. HyperNetX: a Python package for modeling complex network data as hypergraphs. J. Open Source Softw. 9<\/b>, 6016 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    McPherson, J. Hypernetwork sampling: duality and differentiation among voluntary organizations. Soc. Netw. 3<\/b>, 225\u2013249 (1982).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Foster, B. & Seidman, S. Urban structures derived from collections of overlapping subsets. Urban Anthropol. 11<\/b>, 177\u2013192 (1982).<\/p>\n


    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Foster, B. & Seidman, S. Overlap structure of ceremonial events in two Thai villages. Thai J. Dev. Adm. 24<\/b>, 143\u2013157 (1984).<\/p>\n


    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Faust, K. Centrality in affiliation networks. Soc. Netw. 19<\/b>, 157\u2013191 (1997).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Bonacich, P., Holdren, A. C. & Johnston, M. Hyper-edges and multidimensional centrality. Soc. Netw. 26<\/b>, 189\u2013203 (2004).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Estrada, E. & Rodr\u00edguez-Vel\u00e1zquez, J. A. Subgraph centrality and clustering in complex hyper-networks. Phys. A 364<\/b>, 581\u2013594 (2006).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ghoshal, G., Zlati\u0107, V., Caldarelli, G. & Newman, M. E. J. Random hypergraphs and their applications. Phys. Rev. E 79<\/b>, 066118 (2009).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zlati\u0107, V., Ghoshal, G. & Caldarelli, G. Hypergraph topological quantities for tagged social networks. Phys. Rev. E 80<\/b>, 036118 (2009).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Manton, K. G. & Woodbury, M. A. Grade of membership generalizations and aging research. Exp. Aging Res. 17<\/b>, 217\u2013226 (1991).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Chiyo, P. I., Moss, C. J. & Alberts, S. C. The influence of life history milestones and association networks on crop-raiding behavior in male African elephants. PLoS ONE 7<\/b>, e31382 (2012).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Newman, M. E. J. Scientific collaboration networks. I. Network construction and fundamental results. Phys. Rev. E 64<\/b>, 016131 (2001).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Newman, M. E. J. Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. Phys. Rev. E 64<\/b>, 016132 (2001).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Newman, M. E. J. The structure of scientific collaboration networks. Proc. Natl Acad. Sci. USA 98<\/b>, 404\u2013409 (2001).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Wuchty, S., Jones, B. F. & Uzzi, B. The increasing dominance of teams in production of knowledge. Science 316<\/b>, 1036\u20131039 (2007).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Milojevi\u0107, S. Principles of scientific research team formation and evolution. Proc. Natl Acad. Sci. USA 111<\/b>, 3984\u20133989 (2014).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Moore, T. J., Drost, R. J., Basu, P., Ramanathan, R. & Swami, A. Analyzing collaboration networks using simplicial complexes: a case study. In 2012 Proceedings IEEE INFOCOM Workshops 238\u2013243 (IEEE, 2012).<\/p>\n<\/li>\n

  • \n

    Xiao, Q. Node importance measure for scientific research collaboration from hypernetwork perspective. Teh. Vjesn. 23<\/b>, 397\u2013404 (2016).<\/p>\n


    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Juul, J. L., Benson, A. R. & Kleinberg, J. Hypergraph patterns and collaboration structure. Front. Phys. 11<\/b>, 1301994 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Carley, K. A theory of group stability. Am. Sociol. Rev. 56<\/b>, 331\u2013354 (1991).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Guimera, R., Uzzi, B., Spiro, J. & Amaral, L. A. N. Team assembly mechanisms determine collaboration network structure and team performance. Science 308<\/b>, 697\u2013702 (2005).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Musciotto, F., Battiston, F. & Mantegna, R. N. Identifying maximal sets of significantly interacting nodes in higher-order networks. Preprint at https:\/\/doi.org\/10.48550\/arXiv.2209.12712<\/a> (2022).<\/p>\n<\/li>\n

  • \n

    Chowdhary, S., Gallo, L., Musciotto, F. & Battiston, F. Team careers in science: formation, composition and success of persistent collaborations. Preprint at https:\/\/doi.org\/10.48550\/arXiv.2407.09326<\/a> (2024).<\/p>\n<\/li>\n

  • \n

    Patania, A., Vaccarino, F. & Petri, G. Topological analysis of data. EPJ Data Sci. 6<\/b>, 7 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Carstens, C. J. & Horadam, K. J. Persistent homology of collaboration networks. Math. Probl. Eng. 2013<\/b>, 1\u20137 (2013).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Patania, A., Petri, G. & Vaccarino, F. The shape of collaborations. EPJ Data Sci. 6<\/b>, 18 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Burt, R. S. Structural Holes: The Social Structure of Competition (Harvard Univ. Press, 2009).<\/p>\n<\/li>\n

  • \n

    Moreland, R. L. Are dyads really groups? Small Group Res. 41<\/b>, 251\u2013267 (2010).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Stopczynski, A. et al. Measuring large-scale social networks with high resolution. PLoS ONE 9<\/b>, e95978 (2014).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Sekara, V., Stopczynski, A. & Lehmann, S. Fundamental structures of dynamic social networks. Proc. Natl Acad. Sci. USA 113<\/b>, 9977\u20139982 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Sapiezynski, P., Stopczynski, A., Lassen, D. D. & Lehmann, S. Interaction data from the Copenhagen Networks Study. Sci. Data 6<\/b>, 315 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Eagle, N. & Pentland, A. S. Reality mining: sensing complex social systems. Pers. Ubiquitous Comput. 10<\/b>, 255\u2013268 (2006).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    ISI Foundation, CNRS and Bitmanufactory. SocioPatterns. sociopatterns.org http:\/\/www.sociopatterns.org<\/a> (2008).<\/p>\n<\/li>\n

  • \n

    Cattuto, C. et al. Dynamics of person-to-person interactions from distributed RFID sensor networks. PLoS ONE 5<\/b>, e11596 (2010).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Isella, L. et al. What\u2019s in a crowd? Analysis of face-to-face behavioral networks. J. Theor. Biol. 271<\/b>, 166\u2013180 (2011).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    G\u00e9nois, M. et al. Data on face-to-face contacts in an office building suggest a low-cost vaccination strategy based on community linkers. Netw. Sci. 3<\/b>, 326\u2013347 (2015).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Vanhems, P. et al. Estimating potential infection transmission routes in hospital wards using wearable proximity sensors. PLoS ONE 8<\/b>, e73970 (2013).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Wang, R. et al. StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones. In Proc. 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing 3\u201314 (2014).<\/p>\n<\/li>\n

  • \n

    Dartmouth College. StudentLife Study. dartmouth.edu https:\/\/studentlife.cs.dartmouth.edu<\/a> (2013).<\/p>\n<\/li>\n

  • \n

    Fournet, J. & Barrat, A. Contact patterns among high school students. PLoS ONE 9<\/b>, e107878 (2014).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Stehl\u00e9, J. et al. High-resolution measurements of face-to-face contact patterns in a primary school. PLoS ONE 6<\/b>, e23176 (2011).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Dai, S. et al. Longitudinal data collection to follow social network and language development dynamics at preschool. Sci. Data 9<\/b>, 777 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Sapiezynski, P., Stopczynski, A., Wind, D. K., Leskovec, J. & Lehmann, S. Inferring person-to-person proximity using WiFi signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1<\/b>, 24 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Reichert, L., Brack, S. & Scheuermann, B. Privacy-preserving contact tracing of COVID-19 patients. IACR Cryptol. ePrint Arch. 2020<\/b>, 375 (2020).<\/p>\n


    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Mancastroppa, M., Iacopini, I., Petri, G. & Barrat, A. Hyper-cores promote localization and efficient seeding in higher-order processes. Nat. Commun. 14<\/b>, 6223 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Krause, J., James, R., Franks, D. W. & Croft, D. P. Animal Social Networks (Oxford Univ. Press, 2015).<\/p>\n<\/li>\n

  • \n

    Betti, L., Musciotto, F., Papageorgiou, D., Battiston, F. & Farine, D. R. Beyond the dyad: higher-order structure within cohesive animal groups reveals the social pathway to leadership. Preprint at bioRxiv https:\/\/doi.org\/10.1101\/2022.05.30.494018<\/a> (2022).<\/p>\n<\/li>\n

  • \n

    Iacopini, I., Foote, J. R., Fefferman, N. H., Derryberry, E. P. & Silk, M. J. Not your private t\u00eate-\u00e0-t\u00eate: leveraging the power of higher-order networks to study animal communication. Phil. Trans. B 379<\/b>, 20230190 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Coleman, J. S. Foundations of Social Theory (Harvard Univ. Press, 1994).<\/p>\n<\/li>\n

  • \n

    Starnini, M., Baronchelli, A. & Pastor-Satorras, R. Modeling human dynamics of face-to-face interaction networks. Phys. Rev. Lett. 110<\/b>, 168701 (2013).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Starnini, M., Baronchelli, A. & Pastor-Satorras, R. Model reproduces individual, group and collective dynamics of human contact networks. Soc. Netw. 47<\/b>, 130\u2013137 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Duncan, S. & Fiske, D. W. Face-to-Face Interaction: Research, Methods, and Theory (Routledge, 2015).<\/p>\n<\/li>\n

  • \n

    Heider, F. The Psychology of Interpersonal Relations (John Wiley and Sons, 1958).<\/p>\n<\/li>\n

  • \n

    Doreian, P., Kapuscinski, R., Krackhardt, D. & Szczypula, J. in Evolution of Social Networks (eds Doreian, P. & Stokman, F.) 129\u2013147 (Routledge, 2013).<\/p>\n<\/li>\n

  • \n

    Hummon, N. P. & Doreian, P. Some dynamics of social balance processes: bringing Heider back into balance theory. Soc. Netw. 25<\/b>, 17\u201349 (2003).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Cartwright, D. & Harary, F. Structural balance: a generalization of Heider\u2019s theory. Psychol. Rev. 63<\/b>, 277\u2014293 (1956).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gallo, L., Zappal\u00e0, C., Karimi, F. & Battiston, F. Higher-order modeling of face-to-face interactions. Preprint at https:\/\/doi.org\/10.48550\/arXiv.2406.05026<\/a> (2024).<\/p>\n<\/li>\n

  • \n

    Oliveira, M. et al. Group mixing drives inequality in face-to-face gatherings. Commun. Phys. 5<\/b>, 127 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Veldt, N., Benson, A. R. & Kleinberg, J. Combinatorial characterizations and impossibilities for higher-order homophily. Sci. Adv. 9<\/b>, eabq3200 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Sarker, A., Northrup, N. & Jadbabaie, A. Higher-order homophily on simplicial complexes. Proc. Natl Acad. Sci. USA 121<\/b>, e2315931121 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Martin-Gutierrez, S., van Dissel, M. N. C. & Karimi, F. The hidden architecture of connections: how do multidimensional identities shape our social networks? Preprint at https:\/\/doi.org\/10.48550\/arXiv.2406.17043<\/a> (2024).<\/p>\n<\/li>\n

  • \n

    Garip, F. & Molina, M. D. in Research Handbook on Analytical Sociology (ed. Manzo, G.) 308\u2013320 (Edward Elgar, 2021).<\/p>\n<\/li>\n

  • \n

    Grassly, N. C. & Fraser, C. Mathematical models of infectious disease transmission. Nat. Rev. Microbiol. 6<\/b>, 477\u2013487 (2008).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Daley, D. J. & Kendall, D. G. Epidemics and rumours. Nature 204<\/b>, 1118 (1964).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Goffman, W. & Newill, V. A. Generalization of epidemic theory: an application to the transmission of ideas. Nature 204<\/b>, 225\u2013228 (1964).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Bettencourt, L., Cintr\u00f3n-Arias, A., Kaiser, D. I. & Castillo-Chavez, C. The power of a good idea: quantitative modeling of the spread of ideas from epidemiological models. Phys. A 364<\/b>, 513\u2013536 (2006).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Centola, D. & Macy, M. Complex contagions and the weakness of long ties. Am. J. Sociol. 113<\/b>, 702\u2013734 (2007).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Lehmann, S. & Ahn, Y.-Y. (eds) Complex Spreading Phenomena in Social Systems (Springer, 2018).<\/p>\n<\/li>\n

  • \n

    Guilbeault, D., Becker, J. & Centola, D. in Complex Spreading Phenomena in Social Systems (eds Lehmann, S. & Ahn, Y.-Y.) 3\u201325 (Springer, 2018).<\/p>\n<\/li>\n

  • \n

    Granovetter, M. Threshold models of collective behavior. Am. J. Sociol. 83<\/b>, 1420\u20131443 (1978).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Watts, D. J. A simple model of global cascades on random networks. Proc. Natl Acad. Sci. USA 99<\/b>, 5766\u20135771 (2002).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Weidlich, W. The statistical description of polarization phenomena in society. Br. J. Math. Stat. Psychol. 24<\/b>, 251\u2013266 (1971).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Clifford, P. & Sudbury, A. A model for spatial conflict. Biometrika 60<\/b>, 581\u2013588 (1973).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Galam, S. Minority opinion spreading in random geometry. Eur. Phys. J. B 25<\/b>, 403\u2013406 (2002).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Centola, D. The spread of behavior in an online social network experiment. Science 329<\/b>, 1194\u20131197 (2010).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Backstrom, L., Huttenlocher, D., Kleinberg, J. & Lan, X. Group formation in large social networks: membership, growth, and evolution. In Proc. 12th ACM SIGKDD International Conference 44\u201354 (2006).<\/p>\n<\/li>\n

  • \n

    Romero, D. M., Meeder, B. & Kleinberg, J. Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitter. In Proc. 20th International Conference on World Wide Web 695\u2013704 (ACM, 2011).<\/p>\n<\/li>\n

  • \n

    Ugander, J., Backstrom, L., Marlow, C. & Kleinberg, J. Structural diversity in social contagion. Proc. Natl Acad. Sci. USA 109<\/b>, 5962\u20135966 (2012).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Weng, L., Menczer, F. & Ahn, Y.-Y. Virality prediction and community structure in social networks. Sci. Rep. 3<\/b>, 2522 (2013).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ruan, Z., Iniguez, G., Karsai, M. & Kert\u00e9sz, J. Kinetics of social contagion. Phys. Rev. Lett. 115<\/b>, 218702 (2015).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    M\u00f8nsted, B., Sapie\u017cy\u0144ski, P., Ferrara, E. & Lehmann, S. Evidence of complex contagion of information in social media: an experiment using Twitter bots. PLoS ONE 12<\/b>, e0184148 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Castellano, C., Fortunato, S. & Loreto, V. Statistical physics of social dynamics. Rev. Mod. Phys. 81<\/b>, 591 (2009).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Iacopini, I., Petri, G., Barrat, A. & Latora, V. Simplicial models of social contagion. Nat. Commun. 10<\/b>, 2485 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Iacopini, I., Petri, G., Baronchelli, A. & Barrat, A. Group interactions modulate critical mass dynamics in social convention. Commun. Phys. 5<\/b>, 64 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Matamalas, J. T., G\u00f3mez, S. & Arenas, A. Abrupt phase transition of epidemic spreading in simplicial complexes. Phys. Rev. Res. 2<\/b>, 012049 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    de Arruda, G. F., Petri, G. & Moreno, Y. Social contagion models on hypergraphs. Phys. Rev. Res. 2<\/b>, 023032 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Landry, N. W. & Restrepo, J. G. The effect of heterogeneity on hypergraph contagion models. Chaos Interdiscip. J. Nonlinear Sci. 30<\/b>, 103117 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Nowak, M. A. & Highfield, R. SuperCooperators: Altruism, Evolution, and Why We Need Each Other to Succeed (Free Press, 2011).<\/p>\n<\/li>\n

  • \n

    Pennisi, E. How did cooperative behavior evolve? Science 309<\/b>, 93\u201393 (2005).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Trivers, R. L. The evolution of reciprocal altruism. Q. Rev. Biol. 46<\/b>, 35\u201357 (1971).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Sigmund, K. Punish or perish? Retaliation and collaboration among humans. Trends Ecol. Evol. 22<\/b>, 593\u2013600 (2007).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Nowak, M. A. & Sigmund, K. Evolution of indirect reciprocity by image scoring. Nature 393<\/b>, 573\u2013577 (1998).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Milinski, M., Semmann, D., Bakker, T. C. M. & Krambeck, H.-J. Cooperation through indirect reciprocity: image scoring or standing strategy? Proc. R. Soc. Lond. B 268<\/b>, 2495\u20132501 (2001).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Nax, H. H., Perc, M., Szolnoki, A. & Helbing, D. Stability of cooperation under image scoring in group interactions. Sci. Rep. 5<\/b>, 12145 (2015).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Fehr, E. Don\u2019t lose your reputation. Nature 432<\/b>, 449\u2013450 (2004).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    G\u00e4chter, S. Reputation and reciprocity: consequences for the labour relation. Scand. J. Econ. 104<\/b>, 1\u201326 (2002).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Fu, F., Hauert, C., Nowak, M. A. & Wang, L. Reputation-based partner choice promotes cooperation in social networks. Phys. Rev. E 78<\/b>, 026117 (2008).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Nowak, M. A. Five rules for the evolution of cooperation. Science 314<\/b>, 1560\u20131563 (2006).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Santos, F. C., Pacheco, J. M. & Lenaerts, T. Evolutionary dynamics of social dilemmas in structured heterogeneous populations. Proc. Natl Acad. Sci. USA 103<\/b>, 3490\u20133494 (2006).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Santos, F. C., Rodrigues, J. F. & Pacheco, J. M. Graph topology plays a determinant role in the evolution of cooperation. Proc. R. Soc. B 273<\/b>, 51\u201355 (2006).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Santos, F. C., Santos, M. D. & Pacheco, J. M. Social diversity promotes the emergence of cooperation in public goods games. Nature 454<\/b>, 213\u2013216 (2008).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Perc, M., G\u00f3mez-Garde\u00f1es, J., Szolnoki, A., Flor\u00eda, L. M. & Moreno, Y. Evolutionary dynamics of group interactions on structured populations: a review. J. R. Soc. Interface 10<\/b>, 20120997 (2013).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Battiston, F., Perc, M. & Latora, V. Determinants of public cooperation in multiplex networks. N. J. Phys. 19<\/b>, 073017 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Szolnoki, A., Perc, M. & Szab\u00f3, G. Topology-independent impact of noise on cooperation in spatial public goods games. Phys. Rev. E 80<\/b>, 056109 (2009).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Szolnoki, A. & Perc, M. Group-size effects on the evolution of cooperation in the spatial public goods game. Phys. Rev. E 84<\/b>, 047102 (2011).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Alvarez-Rodriguez, U. et al. Evolutionary dynamics of higher-order interactions in social networks. Nat. Hum. Behav. 5<\/b>, 586\u2013595 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Burgio, G., Matamalas, J. T., G\u00f3mez, S. & Arenas, A. Evolution of cooperation in the presence of higher-order interactions: from networks to hypergraphs. Entropy 22<\/b>, 744 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Hauert, C., Michor, F., Nowak, M. A. & Doebeli, M. Synergy and discounting of cooperation in social dilemmas. J. Theor. Biol. 239<\/b>, 195\u2013202 (2006).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Pe\u00f1a, J., Wu, B., Arranz, J. & Traulsen, A. Evolutionary games of multiplayer cooperation on graphs. PLoS Comput. Biol. 12<\/b>, e1005059 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Sheng, A., Su, Q., Wang, L. & Plotkin, J. B. Strategy evolution on higher-order networks. Nat. Comput. Sci. 4<\/b>, 274\u2013284 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Wang, C., Perc, M. & Szolnoki, A. Evolutionary dynamics of any multiplayer game on regular graphs. Nat. Commun. 15<\/b>, 5349 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Guo, H. et al. Evolutionary games on simplicial complexes. Chaos Solitons Fractals 150<\/b>, 111103 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Civilini, A., Anbarci, N. & Latora, V. Evolutionary game model of group choice dilemmas on hypergraphs. Phys. Rev. Lett. 127<\/b>, 268301 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Civilini, A., Sadekar, O., Battiston, F., G\u00f3mez-Garde\u00f1es, J. & Latora, V. Explosive cooperation in social dilemmas on higher-order networks. Phys. Rev. Lett. 132<\/b>, 167401 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Sadekar, O., Civilini, A., Latora, V. & Battiston, F. Drivers of cooperation in social dilemmas on higher-order networks. J. R. Soc. Interface 22<\/b>, 20250134 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Nowak, M. A. Evolutionary Dynamics (Harvard Univ. Press, 2006).<\/p>\n<\/li>\n

  • \n

    Hammond, R. A. & Axelrod, R. The evolution of ethnocentrism. J. Confl. Resolut. 50<\/b>, 926\u2013936 (2006).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Choi, J.-K. & Bowles, S. The coevolution of parochial altruism and war. Science 318<\/b>, 636\u2013640 (2007).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Jordan, M. R., Jordan, J. J. & Rand, D. G. No unique effect of intergroup competition on cooperation: non-competitive thresholds are as effective as competitions between groups for increasing human cooperative behavior. Evol. Hum. Behav. 38<\/b>, 102\u2013108 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Bairey, E., Kelsic, E. D. & Kishony, R. High-order species interactions shape ecosystem diversity. Nat. Commun. 7<\/b>, 12285 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Grilli, J., Barab\u00e1s, G., Michalska-Smith, M. J. & Allesina, S. Higher-order interactions stabilize dynamics in competitive network models. Nature 548<\/b>, 210\u2013213 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Levine, J. M., Bascompte, J., Adler, P. B. & Allesina, S. Beyond pairwise mechanisms of species coexistence in complex communities. Nature 546<\/b>, 56\u201364 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Nagel, T. Moral conflict and political legitimacy. Phil. Public Aff. 16<\/b>, 215\u2013240 (1987).<\/p>\n


    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Pearce, W. B. & Littlejohn, S. W. Moral Conflict: When Social Worlds Collide (Sage, 1997).<\/p>\n<\/li>\n

  • \n

    Bartos, O. J. & Wehr, P. Using Conflict Theory (Cambridge Univ. Press, 2002).<\/p>\n<\/li>\n

  • \n

    Capraro, V. & Perc, M. Grand challenges in social physics: in pursuit of moral behavior. Front. Phys. 6<\/b>, 107 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Hendrick, S. S. Self-disclosure and marital satisfaction. J. Pers. Soc. Psychol. 40<\/b>, 1150\u20131159 (1981).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Argyle, M. & Henderson, M. The rules of friendship. J. Soc. Pers. Relat. 1<\/b>, 211\u2013237 (1984).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gravelle, J. Tax Havens: International Tax Avoidance and Evasion (DIANE, 2010).<\/p>\n<\/li>\n

  • \n

    Tennyson, S. Moral, social, and economic dimensions of insurance claims fraud. Soc. Res. 75<\/b>, 1181\u20131204 (2008).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Pennycook, G., Cannon, T. D. & Rand, D. G. Prior exposure increases perceived accuracy of fake news. J. Exp. Psychol. Gen. 147<\/b>, 1865\u20131880 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Fischbacher, U. & F\u00f6llmi-Heusi, F. Lies in disguise\u2014an experimental study on cheating. J. Eur. Econ. Assoc. 11<\/b>, 525\u2013547 (2013).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Mazar, N., Amir, O. & Ariely, D. The dishonesty of honest people: a theory of self-concept maintenance. J. Mark. Res. 45<\/b>, 633\u2013644 (2008).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Maynard Smith, J. Honest signalling: the Philip Sidney game. Anim. Behav. 42<\/b>, 1034\u20131035 (1991).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gneezy, U. Deception: the role of consequences. Am. Econ. Rev. 95<\/b>, 384\u2013394 (2005).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Smith, D. et al. Cooperation and the evolution of hunter-gatherer storytelling. Nat. Commun. 8<\/b>, 1853 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Marett, L. K. & George, J. F. Deception in the case of one sender and multiple receivers. Group Decis. Negot. 13<\/b>, 29\u201344 (2004).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zhou, L., Wu, J. & Zhang, D. Discourse cues to deception in the case of multiple receivers. Inf. Manage. 51<\/b>, 726\u2013737 (2014).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Skyrms, B. Evolution of signalling systems with multiple senders and receivers. Phil. Trans. R. Soc. B 364<\/b>, 771\u2013779 (2009).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Capraro, V., Perc, M. & Vilone, D. The evolution of lying in well-mixed populations. J. R. Soc. Interface 16<\/b>, 20190211 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Capraro, V., Perc, M. & Vilone, D. Lying on networks: the role of structure and topology in promoting honesty. Phys. Rev. E 101<\/b>, 032305 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kumar, A., Chowdhary, S., Capraro, V. & Perc, M. Evolution of honesty in higher-order social networks. Phys. Rev. E 104<\/b>, 054308 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Li, W., Zhu, Y. & Xia, C. Evolutionary dynamics of n-player sender\u2013receiver game in networks with community structure. Chaos Interdiscip. J. Nonlinear Sci. 33<\/b>, 103117 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kimbrough, E. O. & Vostroknutov, A. Norms make preferences social. J. Eur. Econ. Assoc. 14<\/b>, 608\u2013638 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Capraro, V. & Rand, D. G. Do the right thing: experimental evidence that preferences for moral behavior, rather than equity or efficiency per se, drive human prosociality. Judgm. Decis. Mak. 13<\/b>, 99\u2013111 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Eriksson, K., Strimling, P., Andersson, P. A. & Lindholm, T. Costly punishment in the ultimatum game evokes moral concern, in particular when framed as payoff reduction. J. Exp. Soc. Psychol. 69<\/b>, 59\u201364 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Haidt, J. & Joseph, C. Intuitive ethics: how innately prepared intuitions generate culturally variable virtues. Daedalus 133<\/b>, 55\u201366 (2004).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Iyer, R., Koleva, S., Graham, J., Ditto, P. & Haidt, J. Understanding libertarian morality: the psychological dispositions of self-identified libertarians. PLoS ONE 7<\/b>, e42366 (2012).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Curry, O. S. in The Evolution of Morality (eds Shackelford, T. K. & Hansen, R. D.) 27\u201351 (Springer, 2016).<\/p>\n<\/li>\n

  • \n

    Curry, O., Whitehouse, H. & Mullins, D. Is it good to cooperate? Testing the theory of morality-as-cooperation in 60 societies. Curr. Anthropol. 60<\/b>, 47\u201369 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Page, K. M., Nowak, M. A. & Sigmund, K. The spatial ultimatum game. Proc. R. Soc. Lond. B 267<\/b>, 2177\u20132182 (2000).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kuperman, M. & Risau-Gusman, S. The effect of the topology on the spatial ultimatum game. Eur. Phys. J. B 62<\/b>, 233\u2013238 (2008).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Deng, L., Tang, W. & Zhang, J. The coevolutionary ultimatum game on different network topologies. Phys. A 390<\/b>, 4227\u20134235 (2011).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zheng, L., Li, Y., Zhou, J. & Li, Y. The effect of celebrity on the evolution of fairness in the ultimatum game. Phys. A 585<\/b>, 126326 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Yang, Z. Role polarization and its effects in the spatial ultimatum game. Phys. Rev. E 108<\/b>, 024106 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Deng, L., Wang, H., Wang, R., Xu, R. & Wang, C. The adaptive adjustment of node weights based on reputation and memory promotes fairness. Chaos Solitons Fractals 180<\/b>, 114591 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Van Segbroeck, S., Santos, F. C., Now\u00e9, A., Pacheco, J. M. & Lenaerts, T. The coevolution of loyalty and cooperation. In 2009 IEEE Congress on Evolutionary Computation 500\u2013505 (IEEE, 2009).<\/p>\n<\/li>\n

  • \n

    Fu, F. et al. Evolution of in-group favoritism. Sci. Rep. 2<\/b>, 460 (2012).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Whitaker, R. M., Colombo, G. B. & Rand, D. G. Indirect reciprocity and the evolution of prejudicial groups. Sci. Rep. 8<\/b>, 13247 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Fu, M., Wang, J., Cheng, L. & Chen, L. Promotion of cooperation with loyalty-based reward in the spatial prisoner\u2019s dilemma game. Phys. A 580<\/b>, 125672 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Fu, M., Guo, W., Cheng, L., Huang, S. & Chen, D. History loyalty-based reward promotes cooperation in the spatial public goods game. Phys. A 525<\/b>, 1323\u20131329 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Martinez-Vaquero, L. A. Inequality leads to the evolution of intolerance in reputation-based populations. Chaos Interdiscip. J. Nonlinear Sci. 33<\/b>, 033119 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Chica, M., Chiong, R., Ramasco, J. J. & Abbass, H. Effects of update rules on networked n-player trust game dynamics. Commun. Nonlinear Sci. Numer. Simul. 79<\/b>, 104870 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kumar, A., Capraro, V. & Perc, M. The evolution of trust and trustworthiness. J. R. Soc. Interface 17<\/b>, 20200491 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Lim, I. S. Stochastic evolutionary dynamics of trust games with asymmetric parameters. Phys. Rev. E 102<\/b>, 062419 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Hu, Z. et al. Adaptive reputation promotes trust in social networks. IEEE Trans. Netw. Sci. Eng. 8<\/b>, 3087\u20133098 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Liu, L. & Chen, X. Conditional investment strategy in evolutionary trust games with repeated group interactions. Inf. Sci. 609<\/b>, 1694\u20131705 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Meylahn, B. V., den Boer, A. V. & Mandjes, M. Interpersonal trust: asymptotic analysis of a stochastic coordination game with multi-agent learning. Chaos Interdiscip. J. Nonlinear Sci. 34<\/b>, 063119 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Wang, C. Evolution of trust in structured populations. Appl. Math. Comput. 471<\/b>, 128595 (2024).<\/p>\n


    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zhou, C., Zhu, Y., Zhao, D. & Xia, C. An evolutionary trust game model with group reputation within the asymmetric population. Chaos Solitons Fractals 184<\/b>, 115031 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kosfeld, M. Economic networks in the laboratory: a survey. Rev. Netw. Econ. 3<\/b>, 20\u201341 (2004).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Jackson, M. Social and Economic Networks (Princeton Univ. Press, 2008).<\/p>\n<\/li>\n

  • \n

    Choi, S., Gallo, E. & Kariv, S. Networks in the Laboratory (Cambridge Working Papers in Economics) (Faculty of Economics, Univ. Cambridge, 2015).<\/p>\n<\/li>\n

  • \n

    Cassar, A. Coordination and cooperation in local, random and small world networks: experimental evidence. Games Econ. Behav. 58<\/b>, 209\u2013230 (2007).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kearns, M., Judd, S. & Wortman, J. Behavioral experiments on biased voting in networks. Proc. Natl Acad. Sci. USA 106<\/b>, 1347\u20131352 (2009).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Duffy, J., Lai, E. K. & Lim, W. Coordination via correlation: an experimental study. Econ. Theory 64<\/b>, 265\u2013304 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Bramoull\u00e9, Y., Kranton, R. & D\u2019Amours, M. Strategic interaction and networks. Am. Econ. Rev. 104<\/b>, 898\u2013930 (2014).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    S\u00e1nchez, A. Physics of human cooperation: experimental evidence and theoretical models. J. Stat. Mech. Theory Exp. 2018<\/b>, 024001 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Han, X. et al. Equal status in ultimatum games promotes rational sharing. Sci. Rep. 8<\/b>, 1222 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Cardoso, F. M. et al. Effect of network topology and node centrality on trading. Sci. Rep. 10<\/b>, 11113 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ledyard, J. O. in The Handbook of Experimental Economics (eds Kagel, J. H. & Roth, A. E.) 111\u2013194 (Princeton Univ. Press, 1997).<\/p>\n<\/li>\n

  • \n

    Fischbacher, U. & G\u00e4chter, S. Social preferences, beliefs and the dynamics of free riding in public goods experiments. Am. Econ. Rev. 100<\/b>, 541\u2013556 (2010).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gruji\u0107, J., Fosco, C., Araujo, L., Cuesta, J. A. & S\u00e1nchez, A. Social experiments in the mesoscale: humans playing a spatial prisoner\u2019s dilemma. PLoS ONE 5<\/b>, e13749 (2010).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gracia-L\u00e1zaro, C. et al. Heterogeneous networks do not promote cooperation when humans play a prisoner\u2019s dilemma. Proc. Natl Acad. Sci. USA 109<\/b>, 12922\u201312926 (2012).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Salvato, C., Reuer, J. J. & Battigalli, P. Cooperation across disciplines: a multilevel perspective on cooperative behavior in governing interfirm relations. Acad. Manage. Ann. 11<\/b>, 960\u20131046 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kessler, J. B., Low, C. & Singhal, M. Social policy instruments and the compliance environment. J. Econ. Behav. Organ. 192<\/b>, 248\u2013267 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Bossey, L. A. Conditional cooperation in network public goods experiments. J. Behav. Exp. Econ. 69<\/b>, 108\u2013116 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Pereda, M. A. et al. Large scale and information effects on public goods games. Sci. Rep. 9<\/b>, 15023 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gruji\u0107, J., Cuesta, J. A. & S\u00e1nchez, A. On the coexistence of cooperators, defectors and conditional cooperators in the multiplayer iterated prisoner\u2019s dilemma. J. Theor. Biol. 300<\/b>, 299\u2013308 (2012).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Pereda, M. A., Capraro, V. & S\u00e1nchez, A. Group size effects and critical mass in public good games. Sci. Rep. 9<\/b>, 5503 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Broere, J., Buskens, V., Stoof, H. & S\u00e1nchez, A. An experimental study of network effects on coordination in asymmetric games. Sci. Rep. 9<\/b>, 6842 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zhang, Y. & HE, L. Theory and experiments on network games of public goods: inequality aversion and welfare preference. J. Econ. Behav. Organ. 190<\/b>, 326\u2013347 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Young, J.-G., Petri, G. & Peixoto, T. P. Hypergraph reconstruction from network data. Commun. Phys. 4<\/b>, 135 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kirkley, A. Inference of dynamic hypergraph representations in temporal interaction data. Phys. Rev. E 109<\/b>, 054306 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Sales-Pardo, M., Marin\u00e9-Tena, A. & Guimer\u00e0, R. Hyperedge prediction and the statistical mechanisms of higher-order and lower-order interactions in complex networks. Proc. Natl Acad. Sci. USA 120<\/b>, e2303887120 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Torres, L., Blevins, A. S., Bassett, D. & Eliassi-Rad, T. The why, how, and when of representations for complex systems. SIAM Rev. 63<\/b>, 435\u2013485 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Lee, G., Bu, F., Eliassi-Rad, T. & Shin, K. A survey on hypergraph mining: patterns, tools, and generators. ACM Comput. Surv. 57<\/b>, 203 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    LaRock, T. & Lambiotte, R. Encapsulation structure and dynamics in hypergraphs. J. Phys. Complex. 4<\/b>, 045007 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Neuh\u00e4user, L., Scholkemper, M., Tudisco, F. & Schaub, M. T. Learning the effective order of a hypergraph dynamical system. Sci. Adv. 10<\/b>, eadh4053 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Lucas, M., Gallo, L., Ghavasieh, A., Battiston, F. & De Domenico, M. Reducibility of higher-order networks via information flow. Preprint at https:\/\/doi.org\/10.48550\/arXiv.2404.08547<\/a> (2024).<\/p>\n<\/li>\n

  • \n

    Young, J.-G., Petri, G., Vaccarino, F. & Patania, A. Construction of and efficient sampling from the simplicial configuration model. Phys. Rev. E 96<\/b>, 032312 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Chodrow, P. S. Configuration models of random hypergraphs. J. Complex Netw. 8<\/b>, cnaa018 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Musciotto, F., Battiston, F. & Mantegna, R. N. Detecting informative higher-order interactions in statistically validated hypergraphs. Commun. Phys. 4<\/b>, 218 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Saracco, F., Petri, G., Lambiotte, R. & Squartini, T. Entropy-based random models for hypergraphs. Commun. Phys. 8<\/b>, 284 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Preti, G., Fazzone, A., Petri, G. & De Francisci Morales, G. Higher-order null models as a lens for social systems. Phys. Rev. X 14<\/b>, 031032 (2024).<\/p>\n

    CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Karimi, F., G\u00e9nois, M., Wagner, C., Singer, P. & Strohmaier, M. Homophily influences ranking of minorities in social networks. Sci. Rep. 8<\/b>, 11077 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Esp\u00edn-Noboa, L., Wagner, C., Strohmaier, M. & Karimi, F. Inequality and inequity in network-based ranking and recommendation algorithms. Sci. Rep. 12<\/b>, 2012 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ntoutsi, E. et al. Bias in data-driven artificial intelligence systems\u2014an introductory survey. WIREs Data Min. Knowl. Discov. 10<\/b>, e1356 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Feng, D., Altmeyer, R., Stafford, D., Christakis, N. A. & Zhou, H. H. Testing for balance in social networks. J. Am. Stat. Assoc. 117<\/b>, 156\u2013174 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Cinardi, N. & Karimi, F. Inequality of opportunities creates structural marginalization in networks. Preprint at SocArXiv https:\/\/doi.org\/10.31235\/osf.io\/sp8kn<\/a> (2024).<\/p>\n<\/li>\n

  • \n

    Neuh\u00e4user, L., Karimi, F., Bachmann, J., Strohmaier, M. & Schaub, M. T. Improving the visibility of minorities through network growth interventions. Commun. Phys. 6<\/b>, 108 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Wu, L., Wang, D. & Evans, J. A. Large teams develop and small teams disrupt science and technology. Nature 566<\/b>, 378\u2013382 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Humphrey, S. E. & Aime, F. Team microdynamics: toward an organizing approach to teamwork. Acad. Manage. Ann. 8<\/b>, 443\u2013503 (2014).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Betti, L., Gallo, L., Wachs, J. & Battiston, F. The dynamics of leadership and success in software development teams. Nat. Commun. 16<\/b>, 3956 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    O. Szabo, R., Chowdhary, S., Deritei, D. & Battiston, F. The anatomy of social dynamics in escape rooms. Sci. Rep. 12<\/b>, 10498 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Uzzi, B. The sources and consequences of embeddedness for the economic performance of organizations: the network effect. Am. Sociol. Rev. 61<\/b>, 674\u2013698 (1996).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Burt, R. S. Structural holes and good ideas. Am. J. Sociol. 110<\/b>, 349\u2013399 (2004).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Merton, R. K. The Matthew effect in science. Science 159<\/b>, 56\u201363 (1968).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Vinicius, L., Rizzo, L., Battiston, F. & Migliano, A. B. Cultural evolution, social ratcheting and the origins of human division of labour. Phil. Trans. R. Soc. B (in the press).<\/p>\n<\/li>\n

  • \n

    Migliano, A. B. et al. Hunter-gatherer multilevel sociality accelerates cumulative cultural evolution. Sci. Adv. 6<\/b>, eaax5913 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Reyes-Garc\u00eda, V. et al. Multilevel processes and cultural adaptation: examples from past and present small-scale societies. Ecol. Soc. 21<\/b>, 2 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Migliano, A. B. et al. Characterization of hunter-gatherer networks and implications for cumulative culture. Nat. Hum. Behav. 1<\/b>, 0043 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Migliano, A. B. & Vinicius, L. The origins of human cumulative culture: from the foraging niche to collective intelligence. Phil. Trans. R. Soc. B 377<\/b>, 20200317 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Salali, G. D. et al. Knowledge-sharing networks in hunter-gatherers and the evolution of cumulative culture. Curr. Biol. 26<\/b>, 2516\u20132521 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Derex, M. & Boyd, R. Partial connectivity increases cultural accumulation within groups. Proc. Natl Acad. Sci. USA 113<\/b>, 2982\u20132987 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Koster, J. et al. Kinship ties across the lifespan in human communities. Phil. Trans. R. Soc. B 374<\/b>, 20180069 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Smolla, M. & Ak\u00e7ay, E. Cultural selection shapes network structure. Sci. Adv. 5<\/b>, eaaw0609 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Muthukrishna, M. & Henrich, J. Innovation in the collective brain. Phil. Trans. R. Soc. B 371<\/b>, 20150192 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Tomasello, M. Origins of Human Communication (MIT Press, 2010).<\/p>\n<\/li>\n

  • \n

    Fedorenko, E., Piantadosi, S. T. & Gibson, E. A. Language is primarily a tool for communication rather than thought. Nature 630<\/b>, 575\u2013586 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Baronchelli, A., Felici, M., Loreto, V., Caglioti, E. & Steels, L. Sharp transition towards shared vocabularies in multi-agent systems. J. Stat. Mech. Theory Exp. 2006<\/b>, P06014 (2006).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Puglisi, A., Baronchelli, A. & Loreto, V. Cultural route to the emergence of linguistic categories. Proc. Natl Acad. Sci. USA 105<\/b>, 7936\u20137940 (2008).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Danovski, K. & Brede, M. On the evolutionary language game in structured and adaptive populations. PLoS ONE 17<\/b>, e0273608 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Wu, H. et al. Agent-network-computation-based evolutionary game model in language competition. IEEE Trans. Comput. Soc. Systems 11<\/b>, 4226\u20134241 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Giles, H., Bourhis, R. Y., & Taylor, D. in Language, Ethnicity and Intergroup Relations (ed. Giles, H.) 307\u2013348 (Academic Press, 1977).<\/p>\n<\/li>\n

  • \n

    Capraro, V., Halpern, J. Y. & Perc, M. From outcome-based to language-based preferences. J. Econ. Lit. 62<\/b>, 115\u2013154 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Clark, R. Meaningful Games: Exploring Language with Game Theory (MIT Press, 2023).<\/p>\n<\/li>\n

  • \n

    Gaffal, M. & Padilla G\u00e1lvez, J. Dynamics of Rational Negotiation: Game Theory, Language Games and Forms of Life (Springer, 2024).<\/p>\n<\/li>\n

  • \n

    Vlasceanu, M. et al. Addressing climate change with behavioral science: a global intervention tournament in 63 countries. Sci. Adv. 10<\/b>, eadj5778 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Brodie Rudolph, T. et al. A transition to sustainable ocean governance. Nat. Commun. 11<\/b>, 3600 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Capraro, V. et al. The impact of generative artificial intelligence on socioeconomic inequalities and policy making. PNAS Nexus 3<\/b>, pgae191 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Milkman, K. L. et al. Megastudies improve the impact of applied behavioural science. Nature 600<\/b>, 478\u2013483 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Milkman, K. L. et al. Megastudy shows that reminders boost vaccination but adding free rides does not. Nature 631<\/b>, 179\u2013188 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Saccardo, S. et al. Field testing the transferability of behavioural science knowledge on promoting vaccinations. Nat. Hum. Behav. 8<\/b>, 878\u2013890 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Airoldi, E. M. & Christakis, N. A. Induction of social contagion for diverse outcomes in structured experiments in isolated villages. Science 384<\/b>, eadi5147 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Landry, N. W., Young, J.-G. & Eikmeier, N. The simpliciality of higher-order networks. EPJ Data Sci. 13<\/b>, 17 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     PubMed<\/a>\u00a0
    \n     PubMed Central<\/a>\u00a0
    \n
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