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Clustering in Complex Networks

  • Gábor Szabó
  • Mikko Alava
  • János Kertész
Part I Network Structure
Part of the Lecture Notes in Physics book series (LNP, volume 650)

Abstract

Real, mostly socially rooted networks have the tendency to form the simplest morphological structures observable: triangles, or in other words mutually linked triples of nodes. This is captured by the concept of clustering. We review a few milestones in the quantitative description of this feature, together with selected models that reproduce certain attributes of clustering in various networks. Lastly, we present an example of problems faced when solving a simple relevance-based model by one of the common methods in widespread use.

Keywords

Complex Network Random Graph Degree Distribution Node Degree Preferential Attachment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Authors and Affiliations

  • Gábor Szabó
    • 1
  • Mikko Alava
    • 2
  • János Kertész
    • 1
  1. 1.Department of Theoretical Physics, Institute of Physics, Budapest University of Technology, 8 Budafoki út, H-1111 Hungary 
  2. 2.Laboratory of Physics, Helsinki University of Technology, P. O. Box 1100, FIN-02015 HUTFinland

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