Title :
Information clustering method in social network
Author :
LiHeng Li ; Jianpei Zhang
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
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;
Conference_Titel :
Strategic Technology (IFOST), 2011 6th International Forum on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-4577-0398-0
DOI :
10.1109/IFOST.2011.6021213
