微博信息传播网络的结构属性分析

发布时间：2018-05-11 04:45

本文选题：信息传播网络 + 网络社区　；参考：《中文信息学报》2014年03期

【摘要】：当前微博迅速流行,由于它交互结构的复杂性,其研究分析难度较大,该文提出了一种新颖的方法分析微博信息传播网络的属性。首先定义了信息源的概念,针对6个不同主题事件的微博传播结构,对各信息传播网络结构进行了可视化分析,并给出了信息源分布特征分析。带有时间标签的信息传播网络通常是有向非循环图,定义了3种信息传播微元结构,分别对应信息分散、信息聚集、信息传递。利用斯皮尔曼等级相关系数研究了它们之间的关联度,发现3种结构间有相当大的差异,基于这3种关系分析了信息传播网络的演变情况,得出信息分散结构在各时间片上的数量最多。
[Abstract]:Because of the complexity of interaction structure, the research and analysis of Weibo is very difficult. In this paper, a novel method to analyze the properties of Weibo information transmission network is proposed. Firstly, the concept of information source is defined, and the information transmission network structure is visually analyzed for the Weibo propagation structure of six different topic events, and the distribution characteristics of information source are analyzed. The information transmission network with time label is usually directed aperiodic graph. Three kinds of information propagation microelement structures are defined, which correspond to information dispersion, information aggregation and information transmission respectively. The correlation degree between them is studied by using Spelman rank correlation coefficient. It is found that there are considerable differences among the three kinds of structures. Based on these three relationships, the evolution of information dissemination network is analyzed. It is concluded that the number of information dispersive structures in each time slice is the highest.
【作者单位】：太原理工大学计算机科学与技术学院;
【基金】：国家重点973项目(2013CB329602) 863项目(2014AA015204) 第53批中国博士后基金项目(2013M530738) 山西省国际合作项目(2011081034) 山西省回国留学基金项目(2010-31)
【分类号】：TP393.092

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