DocumentCode :
173743
Title :
Topic hierarchy in social networks
Author :
Martinez Seis, Bella ; Xiaoou Li
Author_Institution :
Comput. Sci. Dept., Center for Res. & Adv. Studies of the Nat. Polytech. Inst., Mexico City, Mexico
fYear :
2014
fDate :
5-8 Oct. 2014
Firstpage :
2013
Lastpage :
2018
Abstract :
The increasing usage of on-line social networks has open new research areas such social network analysis. In this survey we review the literature and concepts around this topics with a special emphasis on the hierarchical representation of the graph structure of the social networks. There have been concepts and techniques, of data mining, social networks, and graphs, adapted to this context, taking into consideration that the community structure of a network can be defined as a dendrogram that shows how a network is organized from smaller communities at lower levels to larger ones at higher levels.
Keywords :
data mining; graph theory; social networking (online); data mining; dendrogram; graph structure; network community structure; on-line social networks; topic hierarchy; Communities; Context; Data mining; Knowledge engineering; Organizations; Proteins; Social network services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/SMC.2014.6974217
Filename :
6974217
Link To Document :
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