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Detection of Communities in Social Networks Using Spanning Tree

  • Partha Basuchowdhuri
  • Siddhartha Anand
  • Diksha Roy Srivastava
  • Khusbu Mishra
  • Sanjoy Kumar Saha
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 28)

Abstract

Communities are inherent substructures present in social networks. Yet finding communities from a social network can be a difficult task. Therefore, finding communities from a social network is an interesting problem. Also, due to its use in many practical applications, it is considered to be an important problem in social network analysis and is well-studied. In this paper, we propose a maximum spanning tree based method to detect communities from a social network. Experimental results show that this method can detect communities with high accuracy and with reasonably good efficiency compared to other existing community detection techniques.

Keywords

Social Networks Community Detection Maximum Spanning Tree 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Partha Basuchowdhuri
    • 1
  • Siddhartha Anand
    • 1
  • Diksha Roy Srivastava
    • 1
  • Khusbu Mishra
    • 1
  • Sanjoy Kumar Saha
    • 2
  1. 1.Department of Computer Science and EngineeringHeritage Institute of TechnologyKolkataIndia
  2. 2.Department of Computer Science and EngineeringJadavpur UniversityKolkataIndia

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