文章詳目資料
Journal of Computers EIMEDLINEScopus
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| 篇名 | A Hierarchical Partition Method for User Influence on Micro-blog Users |
|---|---|
| 卷期 | 29:2 |
| 作者 | Yan-li Liu 、 Xiao-jun Wen |
| 頁次 | 186-192 |
| 關鍵字 | feature fusion 、 hierarchical partition 、 micro blog analysis 、 user influence 、 EI 、 MEDLINE 、 Scopus |
| 出刊日期 | 201804 |
| DOI | 10.3966/199115992018042902018 |
中文摘要
英文摘要
The user hierarchical partition is an important part of the public opinion analysis. To solve the problem of incomplete user influential characteristics, multi-dimensional information mining is used to analyze the factors of user influence hierarchy by integration of user subject similarity, emotional tendency, community influence and other characteristics. A hierarchical partition method of user influence based on fusion feature similarity is proposed. Experiments from real micro blog data show the effectiveness of the proposed method.
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