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Cited by 485

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Interdependent network reciprocity in evolutionary games

Open access
Wang, Zhen, Szolnoki, Attila, Perc, Matjaž·2013·Scientific Reports

Abstract

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.

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Metadata

Authors
Wang, Z., Szolnoki, A., & Perc, M.
Venue
Scientific Reports
Published
2013-01-31
Volume
3
Issue
1
Pages
1183-1183
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2048634613
Cited by
485
References
64
FWCI
235.96
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Interdependent network reciprocity in evolutionary games. https://app.cochat.ai/papers/10.1038/srep01183
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Wang, Z., Szolnoki, A., & Perc, M. (2013). Interdependent network reciprocity in evolutionary games. Scientific Reports. https://doi.org/10.1038/srep01183

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.