微博情境下网络舆情关键节点识别及扩散模式分析  

Research on Identification of Network Public Opinion's Key Nodes and Analysis on Diffusion Modes in the Context of Micro-blog

作　　者：蒋侃[1] 唐竹发 

机构地区：[1]广西大学计算机与电子信息学院,南宁530004

出　　处：《图书情报工作》2015年第20期105-111,共7页Library and Information Service

基　　金：国家自然科学基金项目"基于购物体验溢出和渠道互惠的多渠道零售商忠诚形成机理研究"(项目编号:71362012)研究成果之一

摘　　要：[目的/意义]通过挖掘隐藏于大规模数据中舆情信息传播路径的共性特征和规律,提升网络舆情导控策略的针对性、有效性和高效性。[方法/过程]从信息扩散效果出发,综合考虑信息扩散广度、扩散速度、扩散深度3个评价维度,构建WSD-Rank扩散影响力度量模型。在个体影响力度量基础上,依循信息扩散的延伸结构,探析舆情信息传播模式的结构特征及演变规律。[结果/结论]舆情信息传播呈现出多种扩散模式,不同的扩散模式在传播覆盖面大小、传播速度快慢、传播效率高低以及传播生命周期长短等方面具有差异性。[ Purpose/significance ] This paper aims to improve the accuracy, effectiveness and efficiency of public o- pinion strategies by mining universal characteristics and laws of transmission paths on public opinion hidden in the massive data. [ Method/process ] From the perspective of information diffusion effect, this paper proposes a WSD-Rank influential evaluation model by taking an overall consideration of transmission width, speed and depth. Based on the measurement of individual influence, it explores the structural characteristics and evolutional laws of the public opinion transmission model according to the extended structure of information diffusion. [ Result/conclusion ] The results show that ： public opinion transmission presents various diffusion models; different diffusion models have distinct on the transmission coverage, trans- mission Speed, transmission efficiency and transmission life cycle; there are interactive evolution and intersection among diffusion models.

关 键 词：微博 网络舆情 影响力度量 扩散模式 

分 类 号：G206[文化科学—传播学]