Comparison of Failures and Attacks on Random and Scale-Free Networks
Author(s) -
JeanLoup Guillaume,
Matthieu Latapy,
Clémence Magnien
Publication year - 2005
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-27324-7
DOI - 10.1007/11516798_14
Subject(s) - resilience (materials science) , computer science , degree distribution , scale free network , the internet , complex network , random graph , computer security , scale (ratio) , cascading failure , distributed computing , computer network , power (physics) , theoretical computer science , electric power system , world wide web , geography , graph , physics , quantum mechanics , thermodynamics , cartography
It appeared recently that some statistical properties of complex networks like the Internet, the World Wide Web or Peer-to-Peer systems have an important influence on their resilience to failures and attacks. In particular, scale-free networks (i.e. networks with power-law degree distribution) seem much more robust than random networks in case of failures, while they are more sensitive to attacks. In this paper we deepen the study of the differences in the behavior of these two kinds of networks when facing failures or attacks. We moderate the general affirmation that scale-free networks are much more sensitive than random networks to attacks by showing that the number of links to remove in both cases is similar, and by showing that a slightly modified scenario for failures gives results similar to the ones for attacks. We also propose and analyze an efficient attack strategy against links
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