Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2004-08-11
Physics
Condensed Matter
Disordered Systems and Neural Networks
Report for a student project at the Complex Systems Summer School organized by the Santa Fe Institute, 2004
Scientific paper
In this paper we study the resilience of peer-to-peer networks to preferential attacks. We define a network model and experiment with three di erent simple repairing algorithms, out of which the so called 2nd neighbor rewiring algorithm is found to be e ective and plausible for keeping a large connected component in the network, in spite of the continuous attacks. While our motivation comes from peer-to-peer file sharing networks, we believe that our results are more general and applicable in a wide range of networks. All this work was done as a student project in the Complex Systems Summer School 2004, organized by the Santa Fe Institute in Santa Fe, NM, USA.
Csardi Gabor
Haga Peter
Sager Jennifer
Young Maxwell
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