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Robustness analysis of network controllability
Structural controllability, which is an interesting property of complex networks, attracts many researchers from various fields. The maximum matching algorithm was recently applied to explore the minimum number of driver nodes, where control signals are injected, for controlling the whole network. H...
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Published in: | Physica A 2012-09, Vol.391 (18), p.4420-4425 |
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container_title | Physica A |
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creator | Pu, Cun-Lai Pei, Wen-Jiang Michaelson, Andrew |
description | Structural controllability, which is an interesting property of complex networks, attracts many researchers from various fields. The maximum matching algorithm was recently applied to explore the minimum number of driver nodes, where control signals are injected, for controlling the whole network. Here we study the controllability of directed Erdös–Rényi and scale-free networks under attacks and cascading failures. Results show that degree-based attacks are more efficient than random attacks on network structural controllability. Cascade failures also do great harm to network controllability even if they are triggered by a local node failure.
► We study the robustness of network controllability for directed complex networks. ► Degree-based attacks are efficient on network structural controllability. ► Cascade failures also do great harm to network controllability. |
doi_str_mv | 10.1016/j.physa.2012.04.019 |
format | article |
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► We study the robustness of network controllability for directed complex networks. ► Degree-based attacks are efficient on network structural controllability. ► Cascade failures also do great harm to network controllability.</description><subject>Algorithms</subject><subject>Cascade control</subject><subject>Cascade failure</subject><subject>Controllability</subject><subject>Drivers</subject><subject>Failure</subject><subject>Network controllability</subject><subject>Networks</subject><subject>Robustness</subject><subject>Statistical mechanics</subject><issn>0378-4371</issn><issn>1873-2119</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxDAQhoMouK7-Ai89emnNNG3SHDzI4hcsCKLnkGanmLXbrJms0n9v1_XsaRh4n-Gdh7FL4AVwkNfrYvs-ki1KDmXBq4KDPmIzaJTISwB9zGZcqCavhIJTdka05pyDEuWMFS-h3VEakCizg-1H8pSFLhswfYf4kbkwpBj63ra-92k8Zyed7Qkv_uacvd3fvS4e8-Xzw9Pidpk7IWTKm6YCbGuJnYSubCWvpXCl1Fy1utbCTp0r3TnU066tU7JBCyBU3bYaa63EnF0d7m5j-NwhJbPx5HDqMWDYkQGpQHDNKzFFxSHqYiCK2Jlt9BsbRwPc7O2Ytfm1Y_Z2DK_MZGeibg4UTl98eYyGnMfB4cpHdMmsgv-X_wGWZm4w</recordid><startdate>20120915</startdate><enddate>20120915</enddate><creator>Pu, Cun-Lai</creator><creator>Pei, Wen-Jiang</creator><creator>Michaelson, Andrew</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7U5</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20120915</creationdate><title>Robustness analysis of network controllability</title><author>Pu, Cun-Lai ; Pei, Wen-Jiang ; Michaelson, Andrew</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c336t-8841eb56ef61f2b60563c26907b9593a01649fce97b99ac768ea11375bb9e5973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Algorithms</topic><topic>Cascade control</topic><topic>Cascade failure</topic><topic>Controllability</topic><topic>Drivers</topic><topic>Failure</topic><topic>Network controllability</topic><topic>Networks</topic><topic>Robustness</topic><topic>Statistical mechanics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pu, Cun-Lai</creatorcontrib><creatorcontrib>Pei, Wen-Jiang</creatorcontrib><creatorcontrib>Michaelson, Andrew</creatorcontrib><collection>CrossRef</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Physica A</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pu, Cun-Lai</au><au>Pei, Wen-Jiang</au><au>Michaelson, Andrew</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robustness analysis of network controllability</atitle><jtitle>Physica A</jtitle><date>2012-09-15</date><risdate>2012</risdate><volume>391</volume><issue>18</issue><spage>4420</spage><epage>4425</epage><pages>4420-4425</pages><issn>0378-4371</issn><eissn>1873-2119</eissn><abstract>Structural controllability, which is an interesting property of complex networks, attracts many researchers from various fields. The maximum matching algorithm was recently applied to explore the minimum number of driver nodes, where control signals are injected, for controlling the whole network. Here we study the controllability of directed Erdös–Rényi and scale-free networks under attacks and cascading failures. Results show that degree-based attacks are more efficient than random attacks on network structural controllability. Cascade failures also do great harm to network controllability even if they are triggered by a local node failure.
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subjects | Algorithms Cascade control Cascade failure Controllability Drivers Failure Network controllability Networks Robustness Statistical mechanics |
title | Robustness analysis of network controllability |
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