Multiple disseminating dynamics of human behavior in social network

Jiakun Wang, Xinhua Wang, Hao Yu, Li Bai
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Abstract

Human behavior is often influenced by several external factors and there are some similarities between the information spreading and the human behavior dissemination. In this paper, we propose a novel susceptible- negative/positive-recovered-susceptible (SN/PRS) model to depict human behavior disseminating in social networks from microscopical view. Different from previous literature, the discrete SN/PRS model considers the neutralization reaction of multiple behavior, and the marginal diminishing effect. Then the influences of topology structure, degree and ratio of initial fixed infected nodes on system stability are investigated. Results display that the density of two kinds of spreaders have similar periodic oscillations, but various phase diagrams during the behavior disseminating process in different networks. Finally, the countermeasures to prevent the outbreak of negative behavior are proposed respectively.
社会网络中人类行为的多重传播动态
人的行为往往受到多种外部因素的影响,信息传播与人的行为传播有一定的相似性。本文提出了一种新的易感-负/正-恢复易感(SN/PRS)模型,从微观角度描述人类行为在社会网络中的传播。与以往文献不同的是,离散SN/PRS模型考虑了多种行为的中和反应和边际递减效应。然后研究了拓扑结构、初始固定感染节点的程度和比例对系统稳定性的影响。结果表明,两种扩散器的密度具有相似的周期振荡,但在不同网络的行为传播过程中存在不同的相图。最后,分别提出了防范消极行为爆发的对策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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