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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhongchen Miao Kai Chen Yi Zhou Hongyuan Zha Jianhua He Xiaokang Yang Wenjun Zhang |
| Copyright Year | 2015 |
| Description | Author affiliation: Shanghai Jiao Tong Univ., Shanghai, China (Zhongchen Miao; Kai Chen; Yi Zhou; Xiaokang Yang; Wenjun Zhang) || Georgia Inst. of Technol., Atlanta, GA, USA (Hongyuan Zha) || Aston Univ., Birmingham, UK (Jianhua He) |
| Abstract | As microblog services such as Twitter become a fast and convenient communication approach, identification of trendy topics in microblog services has great academic and business value. However detecting trendy topics is very challenging due to huge number of users and short-text posts in microblog diffusion networks. In this paper we introduce a trendy topics detection system under computation and communication resource constraints. In stark contrast to retrieving and processing the whole microblog contents, we develop an idea of selecting a small set of microblog users and processing their posts to achieve an overall acceptable trendy topic coverage, without exceeding resource budget for detection. We formulate the selection operation of these subset users as mixed-integer optimization problems, and develop heuristic algorithms to compute their approximate solutions. The proposed system is evaluated with real-time test data retrieved from Sina Weibo, the dominant microblog service provider in China. It's shown that by monitoring 500 out of 1.6 million microblog users and tracking their microposts (about 15,000 daily) with our system, nearly 65% trendy topics can be detected, while on average 5 hours earlier before they appear in Sina Weibo official trends. |
| Starting Page | 1194 |
| Ending Page | 1200 |
| File Size | 866246 |
| Page Count | 7 |
| File Format | |
| e-ISBN | 9781467364324 |
| DOI | 10.1109/ICC.2015.7248485 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-08 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Real-time systems |
| Content Type | Text |
| Resource Type | Article |
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