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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jianzhuo Yan Ying Wang Liying Fang Hexin Duan Mengyao Qi |
| Copyright Year | 2013 |
| Description | Author affiliation: Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China (Jianzhuo Yan; Ying Wang; Liying Fang; Hexin Duan; Mengyao Qi) |
| Abstract | In order to enhance the service quality of network community, satisfy the growing demand of community users, this paper analyzes the content of network community from different aspects and provides a comprehensive method to divide the network community user group. On one hand, this method use link analysis techniques to study hyperlink, calculate the number of output links and input links, and then construct the diagram of community user relationship and divide user group. On the other hand, this method analyzes user's interest which is expressed in the published articles and reviews based on support vector machine (SVM) classification. We use clustering to divide group based on the characteristics of the user's interest. A comparative analysis of the different results can get the final result with higher accuracy and reliability. At last, we use software of social network analysis to evaluate the results. This method provides a theoretical basis and technical means for network community application's optimization and personalized services. |
| Sponsorship | Hubei Univ. Automot. Technol. |
| Starting Page | 626 |
| Ending Page | 629 |
| File Size | 924589 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769550046 |
| DOI | 10.1109/ICCIS.2013.172 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Support vector machines Sensitivity Network user group Social network services Communities Link analysis Clustering algorithms Classification User's interest Data processing Cluster Internet |
| Content Type | Text |
| Resource Type | Article |
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