社区网络中信息传播控制技术研究

发布时间：2018-01-14 05:27

本文关键词：社区网络中信息传播控制技术研究　出处：《沈阳航空航天大学》2017年硕士论文　论文类型：学位论文

【摘要】：在线社交网络的流行,推动了网络信息传播的研究,尤其对网络谣言等不良信息传播规律和控制方法的研究越发重要。研究表明,社区网络更符合现实社会网络的特性。研究信息在社区网络上的传播规律和相应的免疫控制策略成为复杂网络领域一个重要的内容,具有现实的研究意义。当前,利用传染病模型分析网络谣言信息传播的多种模型中,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信息的传播特性。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,本文认为个体间的亲密度、谣言接收次数等均影响信息的传播概率,另外免疫节点对信息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谣言传播PSEIR模型。将模型在无标度网络上进行信息传播过程仿真,分析影响信息传播的主要因素,并与传统的信息传播模型进行对比,结果表明PSEIR模型能很好的反映社交网络中信息的传播规律。社区结构对信息的传播和防控具有重要的意义,然而已经存在的免疫策略忽略了社区特性在信息传播中的影响。本文提出了一种社团内外综合免疫控制策略。在社区内部将节点影响力融入到熟人免疫策略中,在社区间通过免疫桥节点来控制信息在社区间的传播。在构造的社区网络中,对免疫前后的谣言传播演化过程进行仿真实验,并与未实施任何免疫策略、目标免疫、熟人免疫对比分析表明本文提出的免疫策略能够在无需知道网络全局信息的情况下,免疫更少的节点达到较好的免疫控制效果。
[Abstract]:The popularity of online social networks has promoted the research of network information dissemination, especially the study of bad information dissemination rules and control methods, such as network rumors, which is more and more important. Community network is more in line with the characteristics of the real social network. It is an important content to study the law of information dissemination on the community network and the corresponding immune control strategy. At present, using the infectious disease model to analyze the network rumor information transmission of a variety of models, seir model through the node susceptibility, latency, infection. The four states of immunity reflect the transmission characteristics of information more comprehensively, but the assumption that the propagation probability is equal among nodes per unit time is not consistent with the transmission property of the actual social network. This paper holds that the affinity between individuals and the number of rumors received all affect the transmission probability of information, in addition, the immune node has a certain inhibitory effect on the information transmission in the actual situation. Based on these two points, a PSEIR model of rumor propagation is proposed. The model is simulated on scale-free network to analyze the main factors that affect the spread of information. And compared with the traditional information dissemination model, the results show that the PSEIR model can well reflect the law of information dissemination in social networks, and community structure is of great significance for information dissemination and prevention and control. However, the existing immunization strategy ignores the influence of community characteristics on information dissemination. In this paper, a comprehensive immune control strategy within and outside the community is proposed, which integrates the node influence into the acquaintance immunization strategy within the community. In the constructed community network, the evolution process of rumor spread before and after immunization was simulated, and no immunization strategy was implemented. The comparative analysis of target immunity and acquaintance immunity shows that the immune strategy proposed in this paper can achieve better immune control effect for nodes with less immunity without knowing the global information of the network.
【学位授予单位】：沈阳航空航天大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：O157.5

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