Community Clustering Algorithm in Complex Networks Based on Microcommunity FusionReportar como inadecuado

Community Clustering Algorithm in Complex Networks Based on Microcommunity Fusion - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Mathematical Problems in Engineering - Volume 2015 2015, Article ID 754029, 8 pages -

Research Article

Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing 210003, China

School of Automation, Nanjing University of Posts and Telecommunication, Nanjing 210003, China

Received 8 January 2015; Revised 1 April 2015; Accepted 2 April 2015

Academic Editor: Joan Serra-Sagrista

Copyright © 2015 Jin Qi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


With the further research on physical meaning and digital features of the community structure in complex networks in recent years, the improvement of effectiveness and efficiency of the community mining algorithms in complex networks has become an important subject in this area. This paper puts forward a concept of the microcommunity and gets final mining results of communities through fusing different microcommunities. This paper starts with the basic definition of the network community and applies Expansion to the microcommunity clustering which provides prerequisites for the microcommunity fusion. The proposed algorithm is more efficient and has higher solution quality compared with other similar algorithms through the analysis of test results based on network data set.

Autor: Jin Qi, Fei Jiang, Xiaojun Wang, Bin Xu, and Yanfei Sun



Documentos relacionados