Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Journal of Applied Sciences
Year: 2013  |  Volume: 13  |  Issue: 13  |  Page No.: 2421 - 2428

Community Detecting in Bipartite Network Based on Principal Components Analysis

Wei Liu and Ling Chen    

Abstract: The identification of communities is significant for the understanding of network structures and functions. In this study, we propose a framework to address the problem of community detection in bipartite networks based on principal components analysis. We apply the algorithm to real-world network data, showing that the algorithm successfully finds meaningful community structures of bipartite networks.

Cited References   |    Fulltext    |   Related Articles   |   Back
 
 
   
 
 
 
  Related Articles

 
 
 
 
 
 
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility