DocumentCode
3308650
Title
A Novel Method for Dynamic Community Discovery
Author
Ma, Ruixin ; Meng, Fancheng
Author_Institution
Dept. Software Eng., Dalian Univ. of Technol., Dalian, China
fYear
2012
fDate
12-14 Jan. 2012
Firstpage
45
Lastpage
47
Abstract
Traditional Community discovery focuses on the study of statical structures of social network while ignores the individuals with high motility. This paper in terms of the dynamic discovery problems in social network, on the basis of complex priority and the grouth theorem, comes up with a new method that according to the degree distribution of vertices to dynamically simulate the formation of the whole network. Using Zachary and Les miserables as our test-bed to verify the results of our algorithm, we proved that this method is able to find the communities with great accuracy and efficiency.
Keywords
complex networks; topology; dynamic community discovery problem; grouth theorem; social network; statical structures; Cities and towns; Communities; Complexity theory; Network topology; Social network services; Tin; Topology; degree distribution; dynamic discovery; individuals with motility; statical structures;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2012 Fifth International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-1-4673-0470-2
Type
conf
DOI
10.1109/ICICTA.2012.18
Filename
6150232
Link To Document