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Multiple disseminating dynamics of human behavior in social network

机译:社会网络中人类行为的多重传播动力

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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.
机译:人类行为通常受多种外部因素影响,信息传播与人类行为传播之间存在一些相似之处。在本文中,我们提出了一种新型的易感性-负/正-恢复-易感性(SN / PRS)模型,以微观的角度描述了在社交网络中传播的人类行为。与先前的文献不同,离散SN / PRS模型考虑了多种行为的中和反应以及边际递减效应。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性振荡,但在不同网络中的行为传播过程中,各相图各不相同。最后,分别提出了预防不良行为爆发的对策。

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