Mesoscopic structure conditions the emergence of cooperation on social networks.

Mesoscopic structure conditions the emergence of cooperation on social networks.
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DOI:
10.1371/journal.pone.0001892
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发表时间:
2008-04-02
期刊:
影响因子:
3.7
通讯作者:
Sánchez A
Sánchez A
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Lozano S;Arenas A;Sánchez A

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我们在两个从实际关系数据中获得的社交网络基底上研究进化的囚徒困境。我们发现他们每个人的合作水平非常不同,不能很容易地理解这两个网络的全球统计特性。我们认为,通过研究网络的社区结构,可以在介观尺度上理解这一结果。我们解释的诱惑参数的内部结构的社区和他们的相互联系方面的合作水平的依赖。然后,我们测试我们的结果社区结构,专门设计的人工网络,发现一个很好的协议与观察在两个真实的基板。我们的研究结果支持这样的结论,即模型网络上的进化博弈研究及其在全局属性方面的解释可能不足以研究特定的真实的社会系统。此外,这项研究使我们能够定义新的定量参数,总结任何网络的介观结构。此外,社区的角度可能有助于解释现有网络的起源和行为,以及设计结构,表现出弹性的合作行为。
We study the evolutionary Prisoner's Dilemma on two social networks substrates obtained from actual relational data. We find very different cooperation levels on each of them that cannot be easily understood in terms of global statistical properties of both networks. We claim that the result can be understood at the mesoscopic scale, by studying the community structure of the networks. We explain the dependence of the cooperation level on the temptation parameter in terms of the internal structure of the communities and their interconnections. We then test our results on community-structured, specifically designed artificial networks, finding a good agreement with the observations in both real substrates. Our results support the conclusion that studies of evolutionary games on model networks and their interpretation in terms of global properties may not be sufficient to study specific, real social systems. Further, the study allows us to define new quantitative parameters that summarize the mesoscopic structure of any network. In addition, the community perspective may be helpful to interpret the origin and behavior of existing networks as well as to design structures that show resilient cooperative behavior.
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