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Control Centrality and Hierarchical Structure in Complex Networks

Overview of attention for article published in PLOS ONE, September 2012
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Title
Control Centrality and Hierarchical Structure in Complex Networks
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044459
Pubmed ID
Authors

Yang-Yu Liu, Jean-Jacques Slotine, Albert-László Barabási

Abstract

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 315 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 3%
United Kingdom 5 2%
Spain 3 <1%
Malaysia 2 <1%
Italy 2 <1%
Japan 2 <1%
Canada 2 <1%
Brazil 1 <1%
Australia 1 <1%
Other 11 3%
Unknown 277 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 103 33%
Researcher 62 20%
Student > Master 32 10%
Student > Doctoral Student 17 5%
Professor 17 5%
Other 53 17%
Unknown 31 10%
Readers by discipline Count As %
Computer Science 53 17%
Agricultural and Biological Sciences 51 16%
Engineering 49 16%
Physics and Astronomy 29 9%
Social Sciences 17 5%
Other 71 23%
Unknown 45 14%