TY - JOUR
T1 - Evolutionary dynamics of higher-order interactions in social networks
AU - Alvarez-Rodriguez, Unai
AU - Battiston, Federico
AU - de Arruda, Guilherme Ferraz
AU - Moreno, Yamir
AU - Perc, Matjaž
AU - Latora, Vito
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature Limited.
PY - 2021/5
Y1 - 2021/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85098755608&partnerID=8YFLogxK
U2 - 10.1038/s41562-020-01024-1
DO - 10.1038/s41562-020-01024-1
M3 - Article
C2 - 33398148
AN - SCOPUS:85098755608
SN - 2397-3374
VL - 5
SP - 586
EP - 595
JO - Nature Human Behaviour
JF - Nature Human Behaviour
IS - 5
ER -