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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jintao Tang Ting Wang Ji Wang |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput. Sci. & Technol., Nat. Univ. of Defense Technol., Changsha (Jintao Tang; Ting Wang; Ji Wang) |
| Abstract | Blogs have become a typical online publication in Web2.0 era. The users of blogs interact with each other by publishing entries, reading and posting comments to other's entries, and discussing with friends. By these actions, information propagates from user to user on the social networks. This paper extracts the information flow hidden in entries and investigates the rules of information flow in both temporal and spatial dimensions. A new approach for information flow detection and tracking on blogs has been proposed by using both social features and text features. The proposed approach has been evaluated through experiments using large scale of real data collected from SOHU blogs. The results demonstrate that our approach is more effective in Web2.0 blogs. The rules of information flow have also been investigated by analyzing the results, which in turn proves the necessity of using social features for information detection and tracking on blogs. |
| Starting Page | 1664 |
| Ending Page | 1670 |
| File Size | 402188 |
| Page Count | 7 |
| File Format | |
| ISBN | 9780769533988 |
| DOI | 10.1109/ICYCS.2008.517 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | social network information flow Social network services Blogs Communities Clustering algorithms blogs Feature extraction Distance measurement web2.0 Business |
| Content Type | Text |
| Resource Type | Article |
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