图 书 馆
寻找话题敏感影响的Twitter用户TwitterRank: Finding Topic-sensitive Influential Twitterers |
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| 课程网址: | http://videolectures.net/wsdm2010_weng_trft/ |
| 主讲教师: | Jianshu Weng |
| 开课单位: | 新加坡管理大学 |
| 开课时间: | 2010-03-18 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networking model called “following”, in which each user can choose who she wants to “follow” to receive tweets from without requiring the latter to give permission first. In a dataset prepared for this study, it is observed that (1) 72.4% of the users in Twitter follow more than 80% of their followers, and (2) 80.5% of the users have 80% of users they are following follow them back. Our study reveals that the presence of “reciprocity” can be explained by phenomenon of homophily [14]. Based on this finding, TwitterRank, an extension of PageRank algorithm, is proposed to measure the influence of users in Twitter. TwitterRank measures the influence taking both the topical similarity between users and the link structure into account. Experimental results show that TwitterRank outperforms the one Twitter currently uses and other related algorithms, including the original PageRank and Topic-sensitive PageRank. |
| 关 键 词: | 微博客; 社交网络模型; 算法的扩展; 局部相似性的影响 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-05-31：吴雨秋(课程编辑志愿者) |
| 阅读次数: | 121 |