TY - CHAP
T1 - Collective Games on Hypergraphs
AU - Alvarez-Rodriguez, Unai
AU - Battiston, Federico
AU - Ferraz de Arruda, Guilherme
AU - Moreno, Yamir
AU - Perc, Matjaž
AU - Latora, Vito
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Human activities often require simultaneous decision-making of individuals in groups. These processes cannot be coherently addressed by means of networks, as networks only allow for pairwise interactions. Here, we propose a general implementation for collective games in which higher-order interactions are encoded on hypergraphs. We employ it for the study of the public goods game by first validating the analytical expression of the replicator dynamics in uniform and heterogeneous populations, and then by introducing a procedure for retrieving empirical synergistic effects of group interactions from real datasets.
AB - Human activities often require simultaneous decision-making of individuals in groups. These processes cannot be coherently addressed by means of networks, as networks only allow for pairwise interactions. Here, we propose a general implementation for collective games in which higher-order interactions are encoded on hypergraphs. We employ it for the study of the public goods game by first validating the analytical expression of the replicator dynamics in uniform and heterogeneous populations, and then by introducing a procedure for retrieving empirical synergistic effects of group interactions from real datasets.
UR - http://www.scopus.com/inward/record.url?scp=85129172679&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-91374-8_15
DO - 10.1007/978-3-030-91374-8_15
M3 - Chapter
AN - SCOPUS:85129172679
T3 - Understanding Complex Systems
SP - 377
EP - 388
BT - Understanding Complex Systems
PB - Springer Science and Business Media Deutschland GmbH
ER -