Issue No. 05 - Sept.-Oct. (2012 vol. 27)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2010.113
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.
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
C. C. Yang and X. Tang, "Estimating User Influence in the MedHelp Social Network," in IEEE Intelligent Systems, vol. 27, no. , pp. 44-50, 2012.