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Issue No. 05 - Sept.-Oct. (2012 vol. 27)
ISSN: 1541-1672
pp: 44-50
Christopher C. Yang , Drexel University
Xuning Tang , Drexel University
ABSTRACT
A method of identifying influential users in an online healthcare community incorporates users' message similarity and response immediacy.
INDEX TERMS
Social network services, Algorithm design and analysis, Communities, Online services, Internet, Diseases, Medical services, social networking, social medial analytics, social computing, Web 2.0, health informatics, social influence, UserRank, PageRank, content analysis, link analysis
CITATION
Christopher C. Yang, Xuning Tang, "Estimating User Influence in the MedHelp Social Network", IEEE Intelligent Systems, vol. 27, no. , pp. 44-50, Sept.-Oct. 2012, doi:10.1109/MIS.2010.113
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