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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jin-Tao Tang Ting Wang Ji Wang |
| Copyright Year | 2009 |
| Description | Author affiliation: National Laboratory for Parallel and Distributed Processing, ChangSha, Hunan 410073, China (Ji Wang) || School of Computer, National University of Defense Technology. Changsha, Hunan 410073, China (Jin-Tao Tang; Ting Wang) |
| Abstract | As a typical social media in web2.0 era, blogs have become more and more important to information diffusion. Different from the traditional news, the information spread on blogs is primarily driven by users and their relations. According to this phenomenon, this paper addresses the novel problem of measuring the influence of social structures on information diffusion. This paper extracts the hidden communities and information diffusion networks on blogs, and proposes a novel quantitative measurement to investigate the influence of social networks structure on diffusion networks. The proposed methods measure the influence by utilizing a simple but effective graph similarity measuring method. The experiments demonstrate the effectiveness of the proposed algorithms and measurements, and discover the correlation between social networks and the diffusion of the “interest” topics, which indicates the necessity of using social structures for information detection and tracking on blogs. |
| Starting Page | 3492 |
| Ending Page | 3498 |
| File Size | 462928 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424437023 |
| DOI | 10.1109/ICMLC.2009.5212771 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Blogs Social network services Communities Clustering algorithms Correlation Approximation algorithms Data mining correlation measurement information diffusion social networks graph similarity |
| Content Type | Text |
| Resource Type | Article |
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