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
Microblog is widely used nowadays. While its users interaction structure is complex, a novel method is proposed in this paper to analyze the property of microblog information diffusion network. We first give the definition of the information source. Then information diffusion networks for six different topic events are visualized and analyzed. Information diffusion network is modeled as a directed acyclic graph, and three motif structures are defined to present information scattering, information gathering and information transmitting, respectively. According to the Spearman rank correlation coefficient, the distributions of the three motif structures are quite different from each other. As for the information diffusion network evolution, it is dount that the information scattering structure has the largest number at each snapshot.
关键词
信息传播网络 /
网络社区 /
微元结构 /
网络可视化
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Key words
information diffusion networks /
network communities /
basic structure /
network visualization
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参考文献
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脚注
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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)
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