Interdependent network reciprocity in evolutionary games
By Zhen Wang, Attila Szolnoki, Matjaz Perc. Scientific Reports, 2013
440 citations recorded by the source corpus.
Besides the structure of interactions within networks, also the interactions between networks are of the outmost importance. We therefore study the outcome of the public goods game on two interdependent networks that are connected by means of a utility function, which determines how payoffs on both networks jointly influence the success of players in each individual network. We show that an unbiased coupling allows the spontaneous emergence of interdependent network reciprocity, which is capable to maintain healthy levels of public cooperation even in extremely adverse conditions. The mechanism, however, requires simultaneous formation of correlated cooperator clusters on both networks. If this does not emerge or if the coordination process is disturbed, network reciprocity fails, resulting in the total collapse of cooperation. Network interdependence can thus be exploited effectively to promote cooperation past the limits imposed by isolated networks, but only if the coordination between the interdependent networks is not disturbed.
Subfields: Genetics, Safety Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/0b76988779ef7eeca5f0d78f4cc4c0bc6417973e
How researchers see this paper
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In Genetics
- Matjaz Perc
- Zhen Wang
- Jesús Gómez-Gardeñes
- Stefano Boccaletti
- Yamir Moreno
- Marc Barthelemy
- Attila Szolnoki
- Taraneh Sowlati
In Safety Research
- Zhen Wang
- Stefano Boccaletti
- G. F. de Arruda
- Unai Alvarez-Rodriguez
- Yamir Moreno
- Vito Latora
- Federico Battiston
- Matjaz Perc
In Sociology and Political Science
- Matjaz Perc
- Zhen Wang
- Stefano Boccaletti
- Jesús Gómez-Gardeñes
- Yamir Moreno
- Vito Latora
- Federico Battiston
- Alex Arenas
Citations in the corpus
- The structure and dynamics of multilayer networks (2014, methodology): “[356], using a two-layer topology composed of two identical 2-dimensional lattices, the Authors followed a similar approach to that used in Ref.”
- Evolutionary dynamics of higher-order interactions in social networks (2020, background): “[24] Wang, Z.”
- Networks beyond pairwise interactions: structure and dynamics (2020, background): “[563] Zhen Wang, Attila Szolnoki, and Matjaž Perc.”
- Multilayer networks (2013, background): “, in a public-goods game in a coupled pair of square lattices [330,347,348]).”