TY - JOUR
T1 - Understanding and preventing cascading breakdown in complex clustered networks
AU - Huang, Liang
AU - Lai, Ying-Cheng
AU - Chen, Guanrong
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2008/9/30
Y1 - 2008/9/30
N2 - Complex clustered networks are ubiquitous in natural and technological systems. Understanding the physics of the security of such networks in response to attacks is of significant value. We develop a model, based on physical analysis and numerical computations, for the key ingredients of load dynamics in typical clustered networks. With this understanding, an effective strategy is proposed for preventing cascading breakdown, one of the most disastrous events that can happen to a complex networked system.
AB - Complex clustered networks are ubiquitous in natural and technological systems. Understanding the physics of the security of such networks in response to attacks is of significant value. We develop a model, based on physical analysis and numerical computations, for the key ingredients of load dynamics in typical clustered networks. With this understanding, an effective strategy is proposed for preventing cascading breakdown, one of the most disastrous events that can happen to a complex networked system.
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U2 - 10.1103/PhysRevE.78.036116
DO - 10.1103/PhysRevE.78.036116
M3 - Article
AN - SCOPUS:53449097050
SN - 1539-3755
VL - 78
JO - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
JF - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
IS - 3
M1 - 036116
ER -