On the credential analysis of Social Network data
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Publication Details
Author list: Tanongsaksakul K., Prom-On S.
Publisher: Hindawi
Publication year: 2017
Start page: 715
End page: 718
Number of pages: 4
ISBN: 9781509060870
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
Abstract
The innovative existence of social network has revolutionized the way we communicate, perceive, and interact with others. Internet has become a medium that connects our lives together and attracts many people to spend time with it, and to engage in different activities from casual to business. However, not everyone is trustworthy. One of the main issues in online social networks is the information overload. Some user accounts may be created with hidden agenda and not represent actual people. Our aim in this paper is to develop and test a method for evaluate the credibility of online users based on their interactions with others. We propose an analysis method that uses several analytic measurements for ranking users in Social Networks based on the reputation models such as PageRank, SocialRank, TwitterRank and MetricRank. We also utilize content classification to improve the ranking effectiveness and integrate them to evaluate the consistency of interaction dialogues. ฉ 2017 IEEE.
Keywords
Personal ranking, Reputation networks, Social credential, Socialrank
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