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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhongwu Zhai Hua Xu Peifa Jia |
| Copyright Year | 2008 |
| Description | Author affiliation: CS&T Dept., Tsinghua Univ., Beijing (Zhongwu Zhai; Hua Xu; Peifa Jia) |
| Abstract | Opinion leaders play a very important role in information diffusion; they are found in all fields of society and influence the opinions of the masses in their fields. Most proposed algorithms on identifying opinion leaders in Internet social network are global measure algorithms and usually omit the fact that opinion leaders are field-limited. We propose and test several algorithms, including interest-field based algorithms and global measure algorithms, to identify opinion leaders in BBS. Our experiments show that different algorithms are sensitive to different indicators; the interest-field based algorithms which not only take into account of the social networkspsila structure but also the userspsila interest space are more reasonable and effective in identifying opinion leaders in BBS. The interest-field based algorithms are sensitive to the high status nodes in the social network, and their performance relies on the quality of field discovery. |
| Starting Page | 398 |
| Ending Page | 401 |
| File Size | 424319 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769534961 |
| DOI | 10.1109/WIIAT.2008.37 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-09 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Opinion Leader Java Social network services Laboratories Blogs Societies Intelligent agent Information science Social Network IP networks Intelligent systems Interest Field Testing |
| Content Type | Text |
| Resource Type | Article |
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