On Certain Behavior of Scale-Free Networks Under Malicious Attacks

  • Tomasz Gierszewski
  • Wojciech Molisz
  • Jacek Rak
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4166)


This paper evaluates performance of scale-free networks in case of intentional removal of their nodes. The distinguishing feature of this kind of networks (Internet is an excellent example) is the power law distribution of node degrees.

An interesting behavior of scale-free networks, if node removal process is performed sufficiently long, is manifested by their migration to random networks. The main idea of our research is to quantify this process. In contrast to well explored parameters like: characteristic path length or clustering coefficient, we propose the new ones: mean maximum flow, centre of gravity of node degree distribution and other. To the best of our knowledge, these measures are proposed for the first time. Our results confirm that the migration process steps relatively fast.


Cluster Coefficient Random Network Node Degree Malicious Attack Network Growth 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tomasz Gierszewski
    • 1
  • Wojciech Molisz
    • 1
  • Jacek Rak
    • 1
  1. 1.Gdansk University of TechnologyGdanskPoland

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