Title :
Estimating User Influence in the MedHelp Social Network
Author :
Yang, Christopher C. ; Tang, Xuning
Abstract :
A method of identifying influential users in an online healthcare community incorporates users´ message similarity and response immediacy.
Keywords :
Internet; health care; social networking (online); MedHelp social network; influential users; online healthcare community; user influence estimation; Algorithm design and analysis; Communities; Diseases; Internet; Medical services; Online services; Social network services; PageRank; UserRank; Web 2.0; content analysis; health informatics; link analysis; social computing; social influence; social medial analytics; social networking;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2010.113
