IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing

Various kinds of social networks develop explosively, such as online social networks, scientific cooperation networks, athlete networks, airport passage networks, and so on. With the large number of participants and real-time property, social networks increasingly demonstrate their strength in infor...

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Bibliographic Details
Published inIEEE access Vol. 8; pp. 228598 - 228604
Main Authors Zhao, Yongqiang, Pan, Shirui, Wu, Jia, Wan, Huaiyu, Liang, Huizhi, Wang, Haishuai, Shen, Huawei
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Airports
Computation
Data mining
Emergency warning programs
Information dissemination
Social networks
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Summary:Various kinds of social networks develop explosively, such as online social networks, scientific cooperation networks, athlete networks, airport passage networks, and so on. With the large number of participants and real-time property, social networks increasingly demonstrate their strength in information dissemination. Social computing has become a promising research area and attracts lots of attention. Analyzing and mining human behaviors, topological structure, and information diffusion in social networks can help to understand the essential mechanism of macroscopic phenomena, discover potential public interest, and provide early warnings of collective emergencies.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3043060