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arXiv 1504.05027physics.soc-phphysics.data-an
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结构化群体中的意见渗透

Opinion percolation in structured population

Han-Xin Yang, Liang Huang

摘要:

在最近的工作[Shao $et$ $al$ 2009 Phys.Rev.Lett. \textbf{108} 018701]中,提出了一种非一致意见(NCO)模型,其中两种意见可以通过形成持有相同意见的智能体集群而稳定共存.格点和多个复杂网络上的NCO模型表现出一种相变行为,其特征是当持有相同观点的节点的初始分数超过某个临界值时,出现一个大的持有相同观点的节点簇。在NCO模型中,如果在其邻域中有超过一半的代理人持有相反的意见,则每个代理人将转换为相反的意见。在本文中,我们推广的NCO模型,假设每个代理将改变其意见,如果持有相反的意见,在其附近的代理的分数超过阈值$T$($T\geq 0.5$)。我们把这种广义模型称为NCOT模型。我们将NCOT模型应用于不同的网络结构,研究了意见簇的形成。我们发现晶格上的NCOT模型呈现出连续的相变。对于随机图和无标度网络,当阈值较小时,网络的平均度较大时,NCOT模型显示不连续的相变,而在其他情况下,NCOT模型显示连续的相变。

英文摘要:

In a recent work [Shao $et$ $al$ 2009 Phys. Rev. Lett. \textbf{108} 018701], a nonconsensus opinion (NCO) model was proposed, where two opinions can stably coexist by forming clusters of agents holding the same opinion. The NCO model on lattices and several complex networks displays a phase transition behavior, which is characterized by a large spanning cluster of nodes holding the same opinion appears when the initial fraction of nodes holding this opinion is above a certain critical value. In the NCO model, each agent will convert to its opposite opinion if there are more than half of agents holding the opposite opinion in its neighborhood. In this paper, we generalize the NCO model by assuming that each agent will change its opinion if the fraction of agents holding the opposite opinion in its neighborhood exceeds a threshold $T$ ($T\geq 0.5$). We call this generalized model as the NCOT model. We apply the NCOT model on different network structures and study the formation of opinion clusters. We find that the NCOT model on lattices displays a continuous phase transition. For random graphs and scale-free networks, the NCOT model shows a discontinuous phase transition when the threshold is small and the average degree of the network is large, while in other cases the NCOT model displays a continuous phase transition.

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