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Structural Controllability of Temporal Networks with a Single Switching Controller
Temporal network, whose topology evolves with time, is an important class of complex networks. Temporal trees of a temporal network describe the necessary edges sustaining the network as well as their active time points. By a switching controller which properly selects its location with time, tempor...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5249110/ https://www.ncbi.nlm.nih.gov/pubmed/28107538 http://dx.doi.org/10.1371/journal.pone.0170584 |
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author | Yao, Peng Hou, Bao-Yu Pan, Yu-Jian Li, Xiang |
author_facet | Yao, Peng Hou, Bao-Yu Pan, Yu-Jian Li, Xiang |
author_sort | Yao, Peng |
collection | PubMed |
description | Temporal network, whose topology evolves with time, is an important class of complex networks. Temporal trees of a temporal network describe the necessary edges sustaining the network as well as their active time points. By a switching controller which properly selects its location with time, temporal trees are used to improve the controllability of the network. Therefore, more nodes are controlled within the limited time. Several switching strategies to efficiently select the location of the controller are designed, which are verified with synthetic and empirical temporal networks to achieve better control performance. |
format | Online Article Text |
id | pubmed-5249110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-52491102017-02-06 Structural Controllability of Temporal Networks with a Single Switching Controller Yao, Peng Hou, Bao-Yu Pan, Yu-Jian Li, Xiang PLoS One Research Article Temporal network, whose topology evolves with time, is an important class of complex networks. Temporal trees of a temporal network describe the necessary edges sustaining the network as well as their active time points. By a switching controller which properly selects its location with time, temporal trees are used to improve the controllability of the network. Therefore, more nodes are controlled within the limited time. Several switching strategies to efficiently select the location of the controller are designed, which are verified with synthetic and empirical temporal networks to achieve better control performance. Public Library of Science 2017-01-20 /pmc/articles/PMC5249110/ /pubmed/28107538 http://dx.doi.org/10.1371/journal.pone.0170584 Text en © 2017 Yao et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Yao, Peng Hou, Bao-Yu Pan, Yu-Jian Li, Xiang Structural Controllability of Temporal Networks with a Single Switching Controller |
title | Structural Controllability of Temporal Networks with a Single Switching Controller |
title_full | Structural Controllability of Temporal Networks with a Single Switching Controller |
title_fullStr | Structural Controllability of Temporal Networks with a Single Switching Controller |
title_full_unstemmed | Structural Controllability of Temporal Networks with a Single Switching Controller |
title_short | Structural Controllability of Temporal Networks with a Single Switching Controller |
title_sort | structural controllability of temporal networks with a single switching controller |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5249110/ https://www.ncbi.nlm.nih.gov/pubmed/28107538 http://dx.doi.org/10.1371/journal.pone.0170584 |
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