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Community Detection in Social Networks

  • Fataneh Dabaghi-Zarandi
  • Marjan Kuchaki Rafsanjani
Chapter
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 179)

Abstract

Over recent years, the usage of social, biologic, communication and the World Wide Web networks is widely increased. Each of these networks consists of many complex and various data that can be modeled as a graph. This graph is composed of a set of nodes and edges that each node model an entity in these networks and connection between two entities is defined as an edge. In this regard, to have a better understanding of organizations and functions in these networks, graph nodes can be classified in different groups. Each group of nodes is called community that its nodes have more similarity with each other. Therefore, community detection is an important field to understand the topology and functions of networks. In this chapter, we introduce several method in community detection and compare them together.

Keywords

Community detection Social networks Structural similarity Attribute-structural similarity Modularity 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Fataneh Dabaghi-Zarandi
    • 1
  • Marjan Kuchaki Rafsanjani
    • 1
  1. 1.Department of Computer Science, Faculty of Mathematics and ComputerShahid Bahonar University of KermanKermanIran

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