[1]SHI Lei,DU Junping,ZHOU Yipeng,et al.A survey on online social network mining and search[J].CAAI Transactions on Intelligent Systems,2016,11(6):777-787.[doi:10.11992/tis.201612007]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
11
Number of periods:
2016 6
Page number:
777-787
Column:
综述
Public date:
2017-01-20
- Title:
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A survey on online social network mining and search
- Author(s):
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SHI Lei1; DU Junping1; ZHOU Yipeng2; YE Hang1; LAI Jincai1; HE Yijiang1
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1. Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. School of Computer Science and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
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- Keywords:
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social networks; data mining; search; community detection; information transmission
- CLC:
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TP393
- DOI:
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10.11992/tis.201612007
- Abstract:
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With the vigorous development of online social networks, the traditional technologies of data mining and searching cannot solve the problems of social networks in the Web 2.0 era. Social networks, accompanied by complex social relationships, large amounts of data, dynamic updates, multimodal data, etc. have brought great challenge to the study of data mining and searching. Therefore, the research of novel algorithms of social network mining and searching has become a new task in both academia and industry. This paper summarized the basic situation and problems of social networks, and analyzed structural modeling techniques, information transmission mechanisms, community detection, sentiment analysis, event detection and search ranking techniques of social networks. Based on the analysis of previous researches, the prospect of social network data mining and search technologies was forecasted in this paper.