文章基本信息

标题：Analysis and Visualization of Internet QA Bulletin Boards Represented as Heterogeneous Networks
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作者：Tsuyoshi Murata ; Tomoyuki Ikeya
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2008
卷号：23
期号：5
页码：293-302
DOI：10.1527/tjsai.23.293
出版社：The Japanese Society for Artificial Intelligence
摘要：Visualizing and analyzing social interactions of CGM (Consumer Generated Media) are important for understanding overall activities on the internet. Social interactions are often represented as simple networks that are composed of homogeneous nodes and edges between them. However, related entities in real world are often not homogeneous. Such relations are naturally represented as heterogeneous networks composed of more than one kind of nodes and edges connecting them. In the case of CGM, for example, users and their contents constitute nodes of heterogeneous networks. There are related users (user communities) and related contents (contents communities) in the heterogeneous networks. Discovering both communities and finding correspondence among them will clarify the characteristics of the communites. This paper describes an attempt for visualizing and analyzing social interactions of Yahoo! Chiebukuro (Japanese Yahoo! Answers). New criteria for measuring correspondence between user communities and board communites are defined, and characteristics of both communities are analyzed using the criteria.
关键词：Web mining ; communities ; heterogeneous networks ; question-answering bulletin boards ; visualization