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Event-Based User Classification in Weibo Media
Joint Authors
Guo, Liang
Cheng, Shiduan
Que, Xirong
Wang, Wendong
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-16
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Weibo media, known as the real-time microblogging services, has attracted massive attention and support from social network users.
Weibo platform offers an opportunity for people to access information and changes the way people acquire and disseminate information significantly.
Meanwhile, it enables people to respond to the social events in a more convenient way.
Much of the information in Weibo media is related to some events.
Users who post different contents, and exert different behavior or attitude may lead to different contribution to the specific event.
Therefore, classifying the large amount of uncategorized social circles generated in Weibo media automatically from the perspective of events has been a promising task.
Under this circumstance, in order to effectively organize and manage the huge amounts of users, thereby further managing their contents, we address the task of user classification in a more granular, event-based approach in this paper.
By analyzing real data collected from Sina Weibo, we investigate the Weibo properties and utilize both content information and social network information to classify the numerous users into four primary groups: celebrities, organizations/media accounts, grassroots stars, and ordinary individuals.
The experiments results show that our method identifies the user categories accurately.
American Psychological Association (APA)
Guo, Liang& Wang, Wendong& Cheng, Shiduan& Que, Xirong. 2014. Event-Based User Classification in Weibo Media. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1049766
Modern Language Association (MLA)
Guo, Liang…[et al.]. Event-Based User Classification in Weibo Media. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1049766
American Medical Association (AMA)
Guo, Liang& Wang, Wendong& Cheng, Shiduan& Que, Xirong. Event-Based User Classification in Weibo Media. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1049766
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049766