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Estimating User Influence in the MedHelp Social Network
Sept.-Oct. 2012 (vol. 27 no. 5)
pp. 44-50
Christopher C. Yang, Drexel University
Xuning Tang, Drexel University
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. 5, pp. 44-50, Sept.-Oct. 2012, doi:10.1109/MIS.2010.113
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