Control Centrality and Hierarchical Structure in Complex Networks
We introduce the concept of control centrality to quantify the ability of a single node to control a directed weighted network. We calculate the distribution of control centrality for several real networks and find that it is mainly determined by the network’s degree distribution. We show that in a...
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Public Library of Science
2013
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Online Access: | http://hdl.handle.net/1721.1/76263 https://orcid.org/0000-0002-7161-7812 |
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author | Liu, Yang-Yu Slotine, Jean-Jacques Barabasi, Albert-Laszlo |
author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Liu, Yang-Yu Slotine, Jean-Jacques Barabasi, Albert-Laszlo |
author_sort | Liu, Yang-Yu |
collection | MIT |
description | We introduce the concept of control centrality to quantify the ability of a single node to control a directed weighted network. We calculate the distribution of control centrality for several real networks and find that it is mainly determined by the network’s degree distribution. We show that in a directed network without loops the control centrality of a node is uniquely determined by its layer index or topological position in the underlying hierarchical structure of the network. Inspired by the deep relation between control centrality and hierarchical structure in a general directed network, we design an efficient attack strategy against the controllability of malicious networks. |
first_indexed | 2024-09-23T16:41:53Z |
format | Article |
id | mit-1721.1/76263 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T16:41:53Z |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | dspace |
spelling | mit-1721.1/762632022-10-03T07:39:01Z Control Centrality and Hierarchical Structure in Complex Networks Liu, Yang-Yu Slotine, Jean-Jacques Barabasi, Albert-Laszlo Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Nonlinear Systems Laboratory Slotine, Jean-Jacques We introduce the concept of control centrality to quantify the ability of a single node to control a directed weighted network. We calculate the distribution of control centrality for several real networks and find that it is mainly determined by the network’s degree distribution. We show that in a directed network without loops the control centrality of a node is uniquely determined by its layer index or topological position in the underlying hierarchical structure of the network. Inspired by the deep relation between control centrality and hierarchical structure in a general directed network, we design an efficient attack strategy against the controllability of malicious networks. 2013-01-15T21:41:14Z 2013-01-15T21:41:14Z 2012-09 2012-04 Article http://purl.org/eprint/type/JournalArticle 1932-6203 http://hdl.handle.net/1721.1/76263 Liu, Yang-Yu, Jean-Jacques Slotine, and Albert-László Barabási. “Control Centrality and Hierarchical Structure in Complex Networks.” Ed. Yamir Moreno. PLoS ONE 7.9 (2012): e44459. https://orcid.org/0000-0002-7161-7812 en_US http://dx.doi.org/10.1371/journal.pone.0044459 PLoS ONE Creative Commons Attribution http://creativecommons.org/licenses/by/2.5/ application/pdf Public Library of Science PLoS |
spellingShingle | Liu, Yang-Yu Slotine, Jean-Jacques Barabasi, Albert-Laszlo Control Centrality and Hierarchical Structure in Complex Networks |
title | Control Centrality and Hierarchical Structure in Complex Networks |
title_full | Control Centrality and Hierarchical Structure in Complex Networks |
title_fullStr | Control Centrality and Hierarchical Structure in Complex Networks |
title_full_unstemmed | Control Centrality and Hierarchical Structure in Complex Networks |
title_short | Control Centrality and Hierarchical Structure in Complex Networks |
title_sort | control centrality and hierarchical structure in complex networks |
url | http://hdl.handle.net/1721.1/76263 https://orcid.org/0000-0002-7161-7812 |
work_keys_str_mv | AT liuyangyu controlcentralityandhierarchicalstructureincomplexnetworks AT slotinejeanjacques controlcentralityandhierarchicalstructureincomplexnetworks AT barabasialbertlaszlo controlcentralityandhierarchicalstructureincomplexnetworks |