000114092 001__ 114092
000114092 005__ 20190205040430.0
000114092 0247_ $$2doi$$a10.1103/PhysRevE.76.026103
000114092 02470 $$2DAR$$a11146
000114092 02470 $$2ISI$$a000249154700008
000114092 037__ $$aARTICLE
000114092 245__ $$aError and Attack Tolerance of Layered Complex Networks
000114092 269__ $$a2007
000114092 260__ $$c2007
000114092 336__ $$aJournal Articles
000114092 520__ $$aMany complex systems may be described by not one but a number of complex networks mapped on each other in a multi-layer structure. Because of the interactions and dependencies between these layers, the state of a single layer does not necessarily reflect well the state of the entire system. In this paper we study the robustness of five examples of two-layer complex systems: three real-life data sets in the fields of communication (the Internet), transportation (the European railway system), and biology (the human brain), and two models based on random graphs. In order to cover the whole range of features specific to these systems, we focus on two extreme policies of system's response to failures, no rerouting and full rerouting. Our main finding is that multi-layer systems are much more vulnerable to errors and intentional attacks than they appear from a single layer perspective.
000114092 6531_ $$alayered complex networks
000114092 6531_ $$afailures
000114092 6531_ $$aerrors and attacks
000114092 6531_ $$arobustness
000114092 700__ $$0240590$$aKurant, Maciej$$g155532
000114092 700__ $$0240373$$aThiran, Patrick$$g103925
000114092 700__ $$aHagmann, Patric
000114092 773__ $$j76$$k026103$$q026103$$tPhys. Rev. E
000114092 8564_ $$s265920$$uhttps://infoscience.epfl.ch/record/114092/files/PhysRevE_76_026103.pdf$$zn/a
000114092 909C0 $$0252614$$pLCA$$xUS00024
000114092 909C0 $$0252454$$pLCA3$$xU10431
000114092 909CO $$ooai:infoscience.tind.io:114092$$pIC$$particle$$qGLOBAL_SET
000114092 937__ $$aLCA-ARTICLE-2007-019
000114092 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000114092 980__ $$aARTICLE