Applications of Theoretical Physics Group, Centro de Matemática e Aplicações Fundamentais, Instituto para a Investigação Interdisciplinar da Universidade de Lisboa, Lisboa, Portugal.
PLoS One. 2012;7(2):e32114. doi: 10.1371/journal.pone.0032114. Epub 2012 Feb 21.
Social networks affect in such a fundamental way the dynamics of the population they support that the global, population-wide behavior that one observes often bears no relation to the individual processes it stems from. Up to now, linking the global networked dynamics to such individual mechanisms has remained elusive. Here we study the evolution of cooperation in networked populations and let individuals interact via a 2-person Prisoner's Dilemma--a characteristic defection dominant social dilemma of cooperation. We show how homogeneous networks transform a Prisoner's Dilemma into a population-wide evolutionary dynamics that promotes the coexistence between cooperators and defectors, while heterogeneous networks promote their coordination. To this end, we define a dynamic variable that allows us to track the self-organization of cooperators when co-evolving with defectors in networked populations. Using the same variable, we show how the global dynamics--and effective dilemma--co-evolves with the motifs of cooperators in the population, the overall emergence of cooperation depending sensitively on this co-evolution.
社交网络以如此根本的方式影响它们所支持的人口动态,以至于人们观察到的全球、全人口的行为往往与它所产生的个体过程无关。到目前为止,将全球网络动态与这种个体机制联系起来一直难以捉摸。在这里,我们研究了网络人群中的合作进化,并让个体通过两人囚徒困境进行互动——这是一种具有特征性背叛主导的合作社会困境。我们展示了同质性网络如何将囚徒困境转化为促进合作者和背叛者共存的全人口进化动态,而异质性网络则促进它们的协调。为此,我们定义了一个动态变量,使我们能够在网络人群中与背叛者共同进化时跟踪合作者的自组织。使用相同的变量,我们展示了全球动态——以及有效困境——如何与人群中合作者的模式共同进化,合作的整体出现取决于这种共同进化的敏感性。