图 书 馆
用户在网上论坛中的分组行为User Grouping Behavior in Online Forums |
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| 课程网址: | http://videolectures.net/kdd09_shi_ugbof/ |
| 主讲教师: | Xiaolin Shi |
| 开课单位: | Snapchat公司 |
| 开课时间: | 2009-09-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Online forums represent one type of social media that is particularly rich for studying human behavior in information seeking and diffusing. The way users join communities is a reflection of the changing and expanding of their interests toward information. In this paper, we study the patterns of user participation behavior, and the feature factors that influence such behavior on different forum datasets. We find that, despite the relative randomness and lesser commitment of structural relationships in online forums, users' community joining behaviors display some strong regularities. One particularly interesting observation is that the very weak relationships between users defined by online replies have similar diffusion curves as those of real friendships or co-authorships. We build social selection models, Bipartite Markov Random Field (BiMRF), to quantitatively evaluate the prediction performance of those feature factors and their relationships. Using these models, we show that some features carry supplementary information, and the effectiveness of different features vary in different types of forums. Moreover, the results of BiMRF with two-star configurations suggest that the feature of user similarity defined by frequency of communication or number of common friends is inadequate to predict grouping behavior, but adding node-level features can improve the fit of the model. |
| 关 键 词: | 在线论坛; 人类行为; 社会媒体 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-20：lxf |
| 阅读次数: | 63 |