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观点与网络的协同进化动力学:从多样性到一致性

Coevolutionary dynamics of opinions and networks: from diversity to uniformity.

作者信息

Fu Feng, Wang Long

机构信息

Program for Evolutionary Dynamics, Harvard University, Cambridge, Massachusetts 02138, USA.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Jul;78(1 Pt 2):016104. doi: 10.1103/PhysRevE.78.016104. Epub 2008 Jul 11.

DOI:10.1103/PhysRevE.78.016104
PMID:18764017
Abstract

We investigate the coevolutionary dynamics of opinions and networks based upon majority-preference (MP) and minority-avoidance (MA) rules. Under MP, individuals adopt the majority opinion among their neighbors; while in MA individuals can break the link to one holding a minority and different opinion, and rewire either to neighbors of their neighbors with the same opinion or to a random one from the whole population except their nearest neighbors. We study opinion formation as a result of combination of these two competing rules, with a parameter tuning the balance between them. We find that the underlying network can be self-organized into connected communities with like-minded individuals belonging to the same group; thus a broad variety of opinions coexist. Diverse opinions disappear in a population in which all individuals share a uniform opinion, when the model parameter exceeds a critical value. Furthermore, we show that an increasing tendency to redirect to neighbors of neighbors is more likely to result in a consensus of opinion.

摘要

我们基于多数偏好(MP)和少数规避(MA)规则研究观点与网络的协同进化动态。在MP规则下,个体采纳其邻居中的多数观点;而在MA规则下,个体可以切断与持有少数且不同观点者的联系,并重新连接到持有相同观点的邻居的邻居,或者从除最近邻居之外的全体人群中随机选择一个进行连接。我们研究这两种相互竞争规则相结合所导致的观点形成,通过一个参数来调整它们之间的平衡。我们发现,基础网络可以自组织成由志同道合的个体组成的相连社区,从而各种观点得以共存。当模型参数超过临界值时,在所有个体都持有统一观点的群体中,不同观点消失。此外,我们表明,转向邻居的邻居的倾向增加更有可能导致观点的一致。

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