基于同质性原则的自适应选民模型的两个相变

Takashi Ishikawa
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引用次数: 0

摘要

网络上的动态和网络的动态是驱动网络(如在线社交网络)共同进化的两个基本过程。本文利用基于相关工作的广义自适应选民模型和同质性原理研究了共同进化网络的机制,同质性原理是社会网络中形成社区结构的驱动机制。该模型具有共同进化网络的动态机制,即通过社会互动改变节点状态和基于同质性的链路重新布线。数值模拟结果表明,该模型存在参数自适应性和同质性两个相变。这一观察结果表明,同质原则的本质在于所提出的模型中的适应机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two phase transitions in the adaptive voter model based on the homophily principle
Dynamics on and of networks are two basic processes that drive coevolving networks such as online social networks. The paper investigates the mechanism of coevolving networks using a generalized adaptive voter model based on related work and the homophily principle which is known as a driving mechanism to form community structure in social networks. The proposed model has mechanisms for dynamics on and of coevolving networks, which are node state change via social interactions and link rewiring based on homophily. The numerical simulation of the proposed model reveals that there exists two phase transitions for the parameters adaptability and homophily. This observation implies that the nature of the homophily principle lies in the adaptive mechanism in the proposed model.
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