Detecting micro-blog user interest communities through the integration of explicit user relationship and implicit topic relations
文献类型：期刊论文
| 作者 | Qin Yu1; Yu Zhengtao1; Wang Yanbing1; Gao Shengxiang1; Shi Linbin1 |
| 刊名 | SCIENCE CHINA-INFORMATION SCIENCES
 |
| 出版日期 | 2017 |
| 卷号 | 60期号:9 |
| 关键词 | feature mapping implicit topic guided topic model contribution of the neighboring nodes |
| ISSN号 | 1674-733X |
| 英文摘要 | In order to effectively utilize the explicit user relationship and implicit topic relations for the detection of micro-blog user interest communities, a micro-blog user interest community (MUIC) detection approach is proposed. First, through the analysis of the follow relationship between users, we have defined three types of such relationships to construct the user follow-ship network. Second, taking the semantic correlation between user tags into account, we construct the user interest feature vectors based on the concept of feature mapping to build a user tag based interest relationship network. Third, user behaviors, such as reposting, commenting, replying, and receiving comments from others, are able to provide certain guidance for the extraction of micro-blog topics. Hence, we propose to integrate the four mentioned user behaviors that are considered to provide guidance information for the traditional latent Dirichlet allocation (LDA) model. Thereby, in addition to the construction of a topic-based interest relationship network, a guided topic model can be built to extract the topics in which the user is interested. Finally, with the integration of the afore-mentioned three types of relationship network, a micro-blog user interest relationship network can be created. Meanwhile, we propose a MUIC detection algorithm based on the contribution of the neighboring nodes. The experiment result proves the effectiveness of our approach in detecting MUICs. |
| 资助项目 | [National Nature Science Foundation] ; [Yunnan Nature Science Foundation] ; [Yunnan Ministry of Education] ; [Ministry of Education of Returned Overseas Students] ; [Science and Technology Innovation Talents Fund Projects of Ministry of Science and Technology] |
| 语种 | 英语 |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/36125]  |
| 专题 | 中国科学院计算技术研究所期刊论文_中文 |
| 作者单位 | 1.Kunming Univ Sci & Technol, Institute Informat Engn & Automat, Kunming 650500, Yunnan, Peoples R China 2.中国科学院计算技术研究所 |
| 推荐引用方式 GB/T 7714 | Qin Yu,Yu Zhengtao,Wang Yanbing,et al. Detecting micro-blog user interest communities through the integration of explicit user relationship and implicit topic relations[J]. SCIENCE CHINA-INFORMATION SCIENCES,2017,60(9). |
| APA | Qin Yu,Yu Zhengtao,Wang Yanbing,Gao Shengxiang,&Shi Linbin.(2017).Detecting micro-blog user interest communities through the integration of explicit user relationship and implicit topic relations.SCIENCE CHINA-INFORMATION SCIENCES,60(9). |
| MLA | Qin Yu,et al."Detecting micro-blog user interest communities through the integration of explicit user relationship and implicit topic relations".SCIENCE CHINA-INFORMATION SCIENCES 60.9(2017). |
入库方式： OAI收割
来源：计算技术研究所
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