DocumentCode
615367
Title
A Graph Clustering algorithm based on shared neighbors and connectivity
Author
Zhang Huijuan ; Sun Shixuan
Author_Institution
Sch. of Software Eng., Tongji Univ., Shanghai, China
fYear
2013
fDate
26-28 April 2013
Firstpage
761
Lastpage
764
Abstract
Graph Clustering algorithm is useful to detect clusters in a graph. However, the existing algorithms are mainly focus on connectivity or attributes of vertices. In this paper, we propose a new algorithm called SNGC that both consider shared neighbors and connectivity between vertices. Furthermore, we implement this algorithm and test it in several experiments. The results show that the performance of SNGC algorithm is pretty well.
Keywords
graph theory; pattern clustering; SNGC algorithm; cluster detection; connectivity; graph clustering algorithm; shared neighbors; vertex attributes; Clusters; Connectivity; Graph Clustering; Shared Neighbors;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location
Colombo
Print_ISBN
978-1-4673-4464-7
Type
conf
DOI
10.1109/ICCSE.2013.6554010
Filename
6554010
Link To Document