Abstract
The emergence and evolution of cooperation in complex natural, social and economical systems is an interdisciplinary topic of recent interest. This paper focuses on the cooperation on complex networks using the approach of evolutionary games. In particular, the phenomenon of diversity-optimized cooperation is briefly reviewed and the effect of network clustering on cooperation is treated in detail. For the latter, a general type of public goods games is used with the result that, for fixed average degree and degree distributions in the underlying network, a high clustering coefficient can promote cooperation. Basic quantities such as the cooperator and defector clusters, mean payoffs of cooperators and defectors along their respective boundaries, the fraction of cooperators for different classes as well as the mean payoffs of hubs in scale-free networks are also investigated. Since strong clustering is typical in many social networks, these results provide insights into the emergence of cooperation in such networks.
Original language | English (US) |
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Article number | 1250228 |
Journal | International Journal of Bifurcation and Chaos |
Volume | 22 |
Issue number | 9 |
DOIs | |
State | Published - 2012 |
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Keywords
- Clustering coefficient
- Cooperation
- Evolutionary game
- Public goods game
- Scale-free networks
- Small-world networks
ASJC Scopus subject areas
- Modeling and Simulation
- Engineering(all)
- General
- Applied Mathematics
Cite this
The emergence and evolution of cooperation on complex networks. / Yang, Han Xin; Wang, Wen Xu; Lai, Ying-Cheng; Grebogi, Celso.
In: International Journal of Bifurcation and Chaos, Vol. 22, No. 9, 1250228, 2012.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - The emergence and evolution of cooperation on complex networks
AU - Yang, Han Xin
AU - Wang, Wen Xu
AU - Lai, Ying-Cheng
AU - Grebogi, Celso
PY - 2012
Y1 - 2012
N2 - The emergence and evolution of cooperation in complex natural, social and economical systems is an interdisciplinary topic of recent interest. This paper focuses on the cooperation on complex networks using the approach of evolutionary games. In particular, the phenomenon of diversity-optimized cooperation is briefly reviewed and the effect of network clustering on cooperation is treated in detail. For the latter, a general type of public goods games is used with the result that, for fixed average degree and degree distributions in the underlying network, a high clustering coefficient can promote cooperation. Basic quantities such as the cooperator and defector clusters, mean payoffs of cooperators and defectors along their respective boundaries, the fraction of cooperators for different classes as well as the mean payoffs of hubs in scale-free networks are also investigated. Since strong clustering is typical in many social networks, these results provide insights into the emergence of cooperation in such networks.
AB - The emergence and evolution of cooperation in complex natural, social and economical systems is an interdisciplinary topic of recent interest. This paper focuses on the cooperation on complex networks using the approach of evolutionary games. In particular, the phenomenon of diversity-optimized cooperation is briefly reviewed and the effect of network clustering on cooperation is treated in detail. For the latter, a general type of public goods games is used with the result that, for fixed average degree and degree distributions in the underlying network, a high clustering coefficient can promote cooperation. Basic quantities such as the cooperator and defector clusters, mean payoffs of cooperators and defectors along their respective boundaries, the fraction of cooperators for different classes as well as the mean payoffs of hubs in scale-free networks are also investigated. Since strong clustering is typical in many social networks, these results provide insights into the emergence of cooperation in such networks.
KW - Clustering coefficient
KW - Cooperation
KW - Evolutionary game
KW - Public goods game
KW - Scale-free networks
KW - Small-world networks
UR - http://www.scopus.com/inward/record.url?scp=85028127144&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028127144&partnerID=8YFLogxK
U2 - 10.1142/S021812741250228
DO - 10.1142/S021812741250228
M3 - Article
AN - SCOPUS:85028127144
VL - 22
JO - International Journal of Bifurcation and Chaos
JF - International Journal of Bifurcation and Chaos
SN - 0218-1274
IS - 9
M1 - 1250228
ER -