• DocumentCode
    1797354
  • Title

    A credible property of resistance distance on real-world networks

  • Author

    Yun-Yan Xiong ; Dong Han ; Yi-Jun Mao

  • Author_Institution
    Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
  • Volume
    1
  • fYear
    2014
  • fDate
    13-16 July 2014
  • Firstpage
    94
  • Lastpage
    97
  • Abstract
    On the basis of introducing the development of resistance distance, an important property of resistance distance was discussed. That is, Vertices in the same cluster of a graph have a small commute distance, whereas two vertices in different clusters of a graph have a “large” commute distance. The credible property was proved to be flawed on random geometric graphs by a research team. For the corrections of resistance distance mentioned by the research team, some experiments were made on real-world network data sets instead. The experiments showed that the property did not hold on rather small real-world network. Moreover, the computation results showed that the correction by von Luxburg did better than the correction by Brand.
  • Keywords
    geometry; graph theory; network theory (graphs); commute distance; credible property; graph clusters; graph vertices; random geometric graphs; real-world networks; resistance distance; Abstracts; Chemistry; Dolphins; Europe; Community; Laplacian matrix; Resistance distance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
  • Conference_Location
    Lanzhou
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4799-4216-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2014.7009098
  • Filename
    7009098