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Measurement of graphs similarity using graph centralities

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(12), pp.57-64
  • DOI : 10.9708/jksci.2018.23.12.057
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : October 2, 2018
  • Accepted : November 18, 2018
  • Published : December 31, 2018

Tae-Soo cho 1 Chi-Geun Han 1 Sang-Hoon Lee 1

1경희대학교

Accredited

ABSTRACT

In this paper, a method to measure similarity between two graphs is proposed, which is based on centralities of the graphs. The similarity between two graphs G₁ and G₂ is defined by thedifference of distance(G₁, GR1) and distance(G₂, GR2), where GR1 and GR2 are set of random graphs that have the same number of nodes and edges as G₁ and G₂, respectively. Each distance (G*, GR*) is obtained by comparing centralities of G* and GR*. Through the computational experiments, we show that it is possible to compare graphs regardless of the number of vertices or edges of the graphs. Also, it is possible to identify and classify the properties of the graphs by measuring and comparing similarities between two graphs.

Citation status

* References for papers published after 2023 are currently being built.