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Evolution of public cooperation on interdependent networks: The impact of biased utility functions
Open accessAbstract
We study the evolution of public cooperation on two interdependent networks that are connected by means of a utility function, which determines to what extent payoffs in one network influence the success of players in the other network. We find that the stronger the bias in the utility function, the higher the level of public cooperation. Yet the benefits of enhanced public cooperation on the two networks are just as biased as the utility functions themselves. While cooperation may thrive on one network, the other may still be plagued by defectors. Nevertheless, the aggregate level of cooperation on both networks is higher than the one attainable on an isolated network. This positive effect of biased utility functions is due to the suppressed feedback of individual success, which leads to a spontaneous separation of characteristic time scales of the evolutionary process on the two interdependent networks. As a result, cooperation is promoted because the aggressive invasion of defectors is more sensitive to the slowing down than the build-up of collective efforts in sizable groups.
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Cited by
Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014) · Journal of Complex Networks · doi:10.1093/comnet/cnu016 · Cited by 3,235
The structure and dynamics of multilayer networks
Boccaletti, S., Bianconi, G., Criado, R., del Genio, C. I., Gómez-Gardeñes, J., Romance, M., Sendiña-Nadal, I., Wang, Z., & Zanin, M. (2014) · Physics Reports · doi:10.1016/j.physrep.2014.07.001 · Cited by 3,125
Self-citationNetworks beyond pairwise interactions: Structure and dynamics
Battiston, F., Cencetti, G., Iacopini, I., Latora, V., Lucas, M., Patania, A., Young, J.-G., & Petri, G. (2020) · Physics Reports · doi:10.1016/j.physrep.2020.05.004 · Cited by 1,602
Evolutionary dynamics of group interactions on structured populations: a review
Perc, M., Gómez-Gardeñes, J., Szolnoki, A., Floría, L. M., & Moreno, Y. (2013) · Journal of The Royal Society Interface · doi:10.1098/rsif.2012.0997 · Cited by 1,340
Self-citationDeng, X., Liu, Q., Deng, Y., & Mahadevan, S. (2016) · Information Sciences · doi:10.1016/j.ins.2016.01.033 · Cited by 615
Metadata
- Authors
- Wang, Z., Szolnoki, A., & Perc, M.
- Venue
- EPL (Europhysics Letters)
- Publisher
- IOP Publishing
- Published
- 2012-02-01
- Volume
- 97
- Issue
- 4
- Pages
- 48001
- ISSN
- 0295-5075 (ISSN-L)
- 1286-4854
- OpenAlex
- W2087247364
- Cited by
- 354
- References
- 0
- FWCI
- 143.80
- Type
- journal article
- Language
- en
- Open access
- green
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- Wang, Z., Szolnoki, A., & Perc, M. (2012). Evolution of public cooperation on interdependent networks: The impact of biased utility functions. EPL (Europhysics Letters). https://doi.org/10.1209/0295-5075/97/48001
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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