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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hui Li Bingqing Shen Jiangtao Cui Jianfeng Ma |
| Copyright Year | 2013 |
| Abstract | In Web 2.0 era, the content on a Web page is increasingly generated by end users, rather than limited number of administrators. Hence, large number of User Generated Content (UGC) has driven the explosion of content in the Web. Thanks to UGC, the pattern of Web usage has evolved from download dominated way to a hybrid one with both information download and upload. Large number of UGC has unveiled great capacity of information that is unavailable for researchers before, such as individual preferences, social connections, and etc. In this paper, we propose a novel model which studies the UGC in micro-blogging Web sites, the largest and fastest information diffusion media online, and evaluate the social influence for an arbitrary individual. Experimental results show that our model outperforms state-of-the-art techniques in social influence evaluation in both the running time and accuracy. |
| Starting Page | 141 |
| Ending Page | 151 |
| Page Count | 11 |
| File Size | 1846143 |
| File Format | |
| ISSN | 16735447 |
| Volume Number | 11 |
| Issue Number | 12 |
| Language | English |
| Publisher | China Communications Magazine Co. Ltd. |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Web pages Blogs Psychology Media Context modeling User-generated content Content management Internet Social network services communications user generated content microblog social influence |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Electrical and Electronic Engineering |
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