Evolutionary dynamics of group interactions on structured populations: a review

By Matjaz Perc, Jesús Gómez-Gardeñes, Attila Szolnoki, Luis Mario Floría, Yamir Moreno. Journal of the Royal Society Interface, 2013

1,291 citations recorded by the source corpus.

Interactions among living organisms, from bacteria colonies to human societies, are inherently more complex than interactions among particles and non-living matter. Group interactions are a particularly important and widespread class, representative of which is the public goods game. In addition, methods of statistical physics have proved valuable for studying pattern formation, equilibrium selection and self-organization in evolutionary games. Here, we review recent advances in the study of evolutionary dynamics of group interactions on top of structured populations, including lattices, complex networks and coevolutionary models. We also compare these results with those obtained on well-mixed populations. The review particularly highlights that the study of the dynamics of group interactions, like several other important equilibrium and non-equilibrium dynamical processes in biological, economical and social sciences, benefits from the synergy between statistical physics, network science and evolutionary game theory.

Subfields: Economics and Econometrics, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/fd026565387010fdf46c9f6d799bf3e451370e07

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In Sociology and Political Science

In Statistical and Nonlinear Physics

Citations in the corpus

Networks beyond pairwise interactions: structure and dynamics (2020, background): “[547] Matjaž Perc, Jesús Gómez-Gardeñes, Attila Szolnoki, Luis M Floŕıa, and Yamir Moreno.”
Statistical physics of human cooperation (2017, methodology): “We then present an overview of mathematical models, where we focus on the public goods game as the null model for human cooperation [109], with extensions toward incorporating punishment [110–112], rewarding [60–62], correlated positive and negative reciprocity [50], as well as tolerant players [82]”
Metric-based resolvability of polycyclic aromatic hydrocarbons (2021, background): “Metric dimension is extensively applied in the various fields of science such as facility location problems, sonar and coastguard Loran [42], computer networks [28], combinatorial optimization [39], robot navigation [23], pharmaceutical chemistry [6], weighing problems [43], and image processing, fo”
The structure and dynamics of multilayer networks (2014, background): “Very recently [328] the attention of the community has been extended to the n-player (n > 2) generalization of the PDG, also called Public Goods Game (PGG) [343].”
Dynamics on higher-order networks: a review (2022, background): “Significant attempts have been made previously in order to explore the evolutionary game dynamics in populations subject to group interactions (see [103] and references therein).”
Statistical physics of vaccination (2016, background): “Here Πi and Πj are their payoffs, while κ (0 < κ <∞) denotes the strength of selection [424, 513, 514] (note that κ is different from the imitation coefficient κ for well-mixed population in Section 8).”
Games on graphs (2014, neutral): “[76].”