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出 处:《电子科技》2017年第5期172-175,179,共5页Electronic Science and Technology
摘 要:随着在线社交网络应用的发展,针对舆情传播、信息管控等问题,准确地揭示信息传播规律越来越重要。文中以微信朋友圈为研究对象,采用传染病动力学,借助复杂网络理论,在经典的SIR模型基础上,考虑用户个人接受阀值、关系权重和群体影响对传播概率的影响,提出改进的多维度D-SIR信息传播模型。仿真结果表明,用户兴趣度对信息传播深度影响最显著,传播者密度最高可达用户整体的40%;传播关系强度次之,最高可达28%;群体从众效应只有针对特殊信源才会有显著作用。The development of the online social network requires better understanding of information dissemination for public opinion transmission and information control. Based on the classic SIR model, this paper puts forward an improved multidimensional D -SIR information transmission model with in consideration the user individual threshold, the relationship and group effect for the WeChat. It is concluded that the influence of user interest degree is the most significant factor on the depth of information dissemination with the proportion of the infected user up to 40% ; the speed and breadth of information is the most obvious, followed by the relative motivation with a proportion of 28% ; and the group effect plays a significant role only for special sources.
关 键 词:微信 信息传播 用户接受阀值 D—SIR模型 数值仿真
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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