Connecting Users with Similar Interests for Group Understanding
| Abstract | In most social networking websites, users are allowed to perform interactive activities. One of the fundamental features that these sites provide is to connecting with users of their kind. On one hand, this activity makes online connections visible and tangible; on the other hand, it enables the exploration of our connections and the expansion of our social networks easier. The aggregation of people who share common interests forms social groups, which are fundamental parts of our social lives. Social behavioral analysis at a group level is an active research area and attracts many interests from the industry. Challenges of my work mainly arise from the scale and complexity of user generated behavioral data. The multiple types of interactio... (more) |
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| Created Date | 2013 |
| Contributor | Wang, Xufei (Author) / Liu, Huan (Advisor) / Kambhampati, Subbarao (Committee member) / Sundaram, Hari (Committee member) / Ye, Jieping (Committee member) / Arizona State University (Publisher) |
| Subject | Computer science / Social research / Sociology / Community Detection / Group Profiling and Understanding / Information Spreader / Social Computing / Social Network Analysis / Tag Network |
| Type | Doctoral Dissertation |
| Extent | 124 pages |
| Language | English |
| Copyright |
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| Reuse Permissions | All Rights Reserved |
| Note | Ph.D. Computer Science 2013 |
| Collaborating Institutions | Graduate College / ASU Library |
| Additional Formats | MODS / OAI Dublin Core / RIS |
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