Evolutionary dynamics of higher-order interactions in social networks

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. Here, we study the evolutionary dynamics of a public goods game in social systems with higher-order interactions. First, we show that the game on uniform hypergraphs corresponds to the replicator dynamics in the well-mixed limit, providing a formal theoretical foundation to study cooperation in networked groups. Second, we unveil how the presence of hubs and the coexistence of interactions in groups of different sizes affects the evolution of cooperation. Finally, we apply the proposed framework to extract the actual dependence of the synergy factor on the size of a group from real-world collaboration data in science and technology. Our work provides a way to implement informed actions to boost cooperation in social groups. Alvarez-Rodriguez et al. examine group interactions by means of higher-order social networks. They propose a theoretical framework for studying real-world interactions and provide a case study of collaboration in science and technology.

Automated summary

This study examines the evolutionary dynamics of a public goods game in social systems with higher-order interactions, providing a theoretical framework for studying cooperation in networked groups. The research also demonstrates how the presence of hubs and interactions in groups of different sizes influence the evolution of cooperation, and applies this framework to real-world collaboration data in science and technology to extract the synergy factor's dependence on group size. The work offers a way to boost cooperation in social groups through informed actions.