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Cited by 338

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Roles of mixing patterns in cooperation on a scale-free networked game

Rong, Zhihai, Li, Xiang, Wang, Xiaofan·2007·Physical Review E

Abstract

We investigate how the degree-mixing pattern affects the emergence of cooperation in the networked prisoner's dilemma game. Our study shows that when a network becomes assortative mixing by degree, the large-degree vertices (hubs) tend to interconnect to each other closely, which destroys the sustainability among cooperators and promotes the invasion of defectors, whereas in disassortative networks, the isolation among hubs protects the cooperative hubs in holding onto their initial strategies to avoid extinction.

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Metadata

Authors
Rong, Z., Li, X., & Wang, X.
Venue
Physical Review E
Published
2007-08-08
Volume
76
Issue
2
Pages
027101-027101
ISSN
  • 1539-3755 (ISSN-L)
  • 1550-2376
OpenAlex
W2134626549
Cited by
338
References
3
FWCI
98.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Roles of mixing patterns in cooperation on a scale-free networked game. https://app.cochat.ai/papers/10.1103/physreve.76.027101
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Rong, Z., Li, X., & Wang, X. (2007). Roles of mixing patterns in cooperation on a scale-free networked game. Physical Review E. https://doi.org/10.1103/physreve.76.027101

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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.