• DocumentCode
    3007738
  • Title

    Quantifying encircling behaviour in complex networks

  • Author

    Piraveenan, Mahendra ; Uddin, Shahadat ; Chung, Kon Shing Kenneth ; Kasthurirathna, Dharshana

  • Author_Institution
    Centre for Complex Syst. Res., Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2013
  • fDate
    16-19 April 2013
  • Firstpage
    9
  • Lastpage
    14
  • Abstract
    In this paper, we explore the effect of encircling behaviour on the topology of complex networks. We introduce the concept of topological encircling, which we define as an attacker making links to neighbours of a victim with the ultimate aim of undermining that victim. We introduce metrics to quantify topological encircling in complex networks, both at the network level and node pair (link) level. Using synthesized networks, we demonstrate that our measures are able to distinguish intentional topological encircling from preferential mixing. We discuss the potential utility of our measures and future research directions.
  • Keywords
    behavioural sciences; complex networks; network theory (graphs); social sciences; complex network topology; encircling behaviour quantification; network level; node pair level; preferential mixing; topological encircling concept; Complex networks; Correlation; Facebook; Indexes; Measurement; Media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Cyber Security (CICS), 2013 IEEE Symposium on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/CICYBS.2013.6597199
  • Filename
    6597199