DocumentCode
3331718
Title
Information clustering method in social network
Author
LiHeng Li ; Jianpei Zhang
Author_Institution
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
Volume
2
fYear
2011
fDate
22-24 Aug. 2011
Firstpage
1104
Lastpage
1108
Abstract
Social network is a one of complex network, with the characteristics of complexity and dynamic. We can know obviously the characteristics of different network structure by social network pattern. Information clustering method in social network, according to distinction of basic solving strategy, it is divided into two types: optimization based method and heuristic method, making generalization and conclusion.
Keywords
optimisation; pattern clustering; social networking (online); heuristic method; information clustering method; network complexity characteristics; network dynamic characteristics; optimization based method; social network pattern; Analytical models; Biology; Classification algorithms; Clustering algorithms; Heuristic algorithms; Optimization; Physics; Information Discovery; Network Clustering; Social Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Strategic Technology (IFOST), 2011 6th International Forum on
Conference_Location
Harbin, Heilongjiang
Print_ISBN
978-1-4577-0398-0
Type
conf
DOI
10.1109/IFOST.2011.6021213
Filename
6021213
Link To Document