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Institute of Applied Data Science



Evolutionary Dynamics of Higher-Order Interactions in Social Networks

11 January 2021

We live and cooperate in networks. However, links in networks only allow for pairwise interactions, thus making the framework suitable for dyadic games, but not for games that are played in larger groups. This research paper, led by Professor Vito Latora, Professor of Applied Mathematics, Chair of Complex Systems and Head of the Complex Systems and Networks Unit at the School of Mathematical Sciences of Queen Mary University of London and Queen Mary Turing Fellow, explores the evolutionary dynamics of a public goods game in social systems with higher-order interactions.