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在线社交网络竞争信息传播研究与稳定性分析 被引量:1

Research and Stability Analysis of Competitive Information Dissemination in Online Social Networks
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摘要 [目的/意义]当前,在线社交网络已成为人们获取和传播信息的重要途径,在线社交网络上的谣言发酵很快就会引发群体效应,为了应对谣言传播,政府机构等也会发布辟谣信息,所以正确把握两种意思相反的竞争信息传播的特点,有利于对谣言的管控。[方法/过程]基于竞争信息在在线社交网络中的传播关系,提出一种竞争信息扩散模型SC2I2R来描述两类信息在社会网络中的扩散过程,分析无病平衡点的局部稳定性和全局稳定性,并通过数值模拟研究扩散过程。[结果/结论]被接收和转发概率大的信息并不一定传播更广泛,信息传播还会受社交网络结构、初始传播节点数量等的影响。[局限]为了简化模型,没有考虑在线社交平台的推荐机制、热搜机制等可以跨越拓扑结构传播的机制以及各个平台之间的影响,也没有考虑其他影响传播的因素。 [Purpose/significance]At present,online social networks have become an important way for people to obtain and disseminate information,and the fermentation of rumors on online social networks will soon lead to group effects.In order to cope with the spread of rumors,government agencies will also release information to refute rumors.Therefore,a correct grasp of the characteristics of the dissemination of two kinds of competing information with opposite meanings is conducive to the control of rumors.[Method/process]Considering the propagation relationship of opposing information in online social networks,a competitive information diffusion model SC2I2R was proposed to describe the diffusion process of two types of information in social networks.The local stability and global stability of disease-free equilibrium point were analyzed,and the diffusion process was studied by numerical simulation.[Result/conclusion]The information with greater probability of being received and forwarded does not necessarily spread more widely,and the information transmission will also be affected by the structure of the social network and the number of initial transmission nodes.[Limitations]In order to simplify the model,the recommendation mechanism and hot search mechanism of online social platforms,which can spread across the topological structure,as well as the influence among various platforms,are not considered,nor are other factors affecting the propagation.
作者 陈梓彦 袁得嵛 程佳琳 Chen Ziyan;Yuan Deyu;Cheng Jialin(People’s Public Security University of China,Beijing 100038)
出处 《情报理论与实践》 北大核心 2024年第8期150-159,共10页 Information Studies:Theory & Application
基金 国家社会科学基金重点项目“网络安全新业态视角下的关键技术风险分析及防控对策研究”(项目编号:20AZD114) 中国人民公安大学基本科研业务费重点项目“网络身份关联与追踪技术”(项目编号:2022JKF02007)的成果。
关键词 在线社交网络 信息传播模型 局部稳定性 全局稳定性 online social network information dissemination model local stability global stability
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