Link Prediction based on Structural Properties of Online Social Networks

被引：0
|
作者：
Tsuyoshi Murata
Sakiko Moriyasu
机构：
[1] Tokyo Institute of Technology,Department of Computer Science
来源：
New Generation Computing | 2008年 / 26卷
关键词：
Web Usage Mining; Link Prediction; Question-Answering Bulletin Boards;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Question-Answering Bulletin Boards (QABB), such as Yahoo! Answers and Windows Live QnA, are gaining popularity recently. Questions are submitted on QABB and let somebody in the internet answer them. Communications on QABB connect users, and the overall connections can be regarded as a social network. If the evolution of social networks can be predicted, it is quite useful for encouraging communications among users. Link prediction on QABB can be used for recommendation to potential answerers.
引用
收藏
页码：245 / 257
页数：12
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