Jin Qing, Wang Lin, Xia Cheng-Yi, Wang Zhen
1] Center for Complex Network Research and Department of Physics, Northeastern University, Boston, MA 02115, USA [2] School of Physics, Nankai University, Tianjin 300071, China.
Centre for Chaos and Complex Networks, Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong.
Sci Rep. 2014 Feb 14;4:4095. doi: 10.1038/srep04095.
Spatial evolution game has traditionally assumed that players interact with direct neighbors on a single network, which is isolated and not influenced by other systems. However, this is not fully consistent with recent research identification that interactions between networks play a crucial rule for the outcome of evolutionary games taking place on them. In this work, we introduce the simple game model into the interdependent networks composed of two networks. By means of imitation dynamics, we display that when the interdependent factor α is smaller than a threshold value α(C), the symmetry of cooperation can be guaranteed. Interestingly, as interdependent factor exceeds α(C), spontaneous symmetry breaking of fraction of cooperators presents itself between different networks. With respect to the breakage of symmetry, it is induced by asynchronous expansion between heterogeneous strategy couples of both networks, which further enriches the content of spatial reciprocity. Moreover, our results can be well predicted by the strategy-couple pair approximation method.
传统上,空间演化博弈假设玩家在单个网络上与直接邻居进行交互,该网络是孤立的,不受其他系统影响。然而,这与最近的研究发现并不完全一致,该发现表明网络之间的相互作用对发生在它们之上的演化博弈结果起着关键作用。在这项工作中,我们将简单博弈模型引入由两个网络组成的相互依存网络中。通过模仿动力学,我们发现当相互依存因子α小于阈值α(C)时,可以保证合作的对称性。有趣的是,当相互依存因子超过α(C)时,不同网络之间合作者比例会出现自发的对称性破缺。关于对称性的破缺,它是由两个网络的异质策略对之间的异步扩展引起的,这进一步丰富了空间互惠的内容。此外,我们的结果可以通过策略对近似方法得到很好的预测。