一种改进的SEIR网络谣言传播模型研究

发布时间：2018-02-27 21:20

本文关键词： 谣言传播社交网络传染病模型传播概率无标度网络　出处：《情报杂志》2017年03期 　论文类型：期刊论文

【摘要】：[目的/意义]在线社交网络的流行推动了网络舆情的研究,网络谣言作为网络舆情分析的重要方面,对其传播规律和控制方法的研究越发重要。[方法/过程]当前,利用传染病模型分析网络谣言传播的多种模型中,SEIR模型通过节点的易感、潜伏、感染、免疫四种状态较全面的反应了谣言的传播特性。但模型对于单位时间内网络节点间的传播概率均等这一假设与实际社交网络的传播性质不一致,个体间的亲密度、谣言接收次数等均影响谣言的传播概率,另外免疫节点对谣言传播在实际情况中是有一定抑制作用的,基于这两点提出一种改进的谣言传播模型PSEIR。[结果/结论]将该模型在无标度网络上进行谣言传播过程仿真,分析影响谣言传播的主要因素,并与传统的SEIR、SIR谣言传播模型进行对比,结果表明PSEIR模型能更好地反映社交网络中谣言的传播规律。
[Abstract]:[purpose / significance] the popularity of online social networks has promoted the research of online public opinion. As an important aspect of the analysis of network public opinion, the study of its dissemination law and control method is becoming more and more important. [method / process] at present, The infectious disease model is used to analyze the susceptibility, latency and infection of the network rumour spreading model. However, the assumption that the propagation probability of the network nodes per unit time is equal is not consistent with the propagation property of the actual social network, and the affinity between individuals is not consistent with the assumption that the spread probability of the network nodes is equal to that of the actual social network. The number of rumors received affects the spread probability of rumors. In addition, the immune nodes have a certain inhibitory effect on the spread of rumors in the actual situation. Based on these two points, an improved rumor propagation model, PSEIR. is proposed. [results / conclusion] the model is simulated on scale-free network, and the main factors affecting rumor propagation are analyzed. The results show that the PSEIR model can better reflect the law of rumor propagation in social networks.
【作者单位】：沈阳航空航天大学计算机学院;
【基金】：国家自然科学基金青年项目“基于查询日志的数据库自动模式匹配技术研究”(编号:61303016)研究成果之一
【分类号】：C912.63

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