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The robustness of multiplex networks under layer node-based attack.

Abstract：

:From transportation networks to complex infrastructures, and to social and economic networks, a large variety of systems can be described in terms of multiplex networks formed by a set of nodes interacting through different network layers. Network robustness, as one of the most successful application areas of complex networks, has attracted great interest in a myriad of research realms. In this regard, how multiplex networks respond to potential attack is still an open issue. Here we study the robustness of multiplex networks under layer node-based random or targeted attack, which means that nodes just suffer attacks in a given layer yet no additional influence to their connections beyond this layer. A theoretical analysis framework is proposed to calculate the critical threshold and the size of giant component of multiplex networks when nodes are removed randomly or intentionally. Via numerous simulations, it is unveiled that the theoretical method can accurately predict the threshold and the size of giant component, irrespective of attack strategies. Moreover, we also compare the robustness of multiplex networks under multiplex node-based attack and layer node-based attack, and find that layer node-based attack makes multiplex networks more vulnerable, regardless of average degree and underlying topology.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Zhao DW,Wang LH,Zhi YF,Zhang J,Wang Z

doi

10.1038/srep24304

subject

Has Abstract

pub_date

2016-04-14 00:00:00

pages

24304

issn

2045-2322

pii

srep24304

journal_volume

6

pub_type

杂志文章

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