Robustness of Network Controllability with Respect to Node Removals Based on In-Degree and Out-Degree
Network controllability and its robustness have been widely studied. However, analytical methods to calculate network controllability with respect to node in- and out-degree targeted removals are currently lacking. This paper develops methods, based on generating functions for the in- and out-degree...
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MDPI AG
2023-04-01
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Series: | Entropy |
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Online Access: | https://www.mdpi.com/1099-4300/25/4/656 |
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author | Fenghua Wang Robert E. Kooij |
author_facet | Fenghua Wang Robert E. Kooij |
author_sort | Fenghua Wang |
collection | DOAJ |
description | Network controllability and its robustness have been widely studied. However, analytical methods to calculate network controllability with respect to node in- and out-degree targeted removals are currently lacking. This paper develops methods, based on generating functions for the in- and out-degree distributions, to approximate the minimum number of driver nodes needed to control directed networks, during node in- and out-degree targeted removals. By validating the proposed methods on synthetic and real-world networks, we show that our methods work reasonably well. Moreover, when the fraction of the removed nodes is below 10% the analytical results of random removals can also be used to predict the results of targeted node removals. |
first_indexed | 2024-03-11T05:03:04Z |
format | Article |
id | doaj.art-676b2f94085d42a3bf3979b351be7804 |
institution | Directory Open Access Journal |
issn | 1099-4300 |
language | English |
last_indexed | 2024-03-11T05:03:04Z |
publishDate | 2023-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Entropy |
spelling | doaj.art-676b2f94085d42a3bf3979b351be78042023-11-17T19:09:12ZengMDPI AGEntropy1099-43002023-04-0125465610.3390/e25040656Robustness of Network Controllability with Respect to Node Removals Based on In-Degree and Out-DegreeFenghua Wang0Robert E. Kooij1Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, 2628 CD Delft, The NetherlandsFaculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, 2628 CD Delft, The NetherlandsNetwork controllability and its robustness have been widely studied. However, analytical methods to calculate network controllability with respect to node in- and out-degree targeted removals are currently lacking. This paper develops methods, based on generating functions for the in- and out-degree distributions, to approximate the minimum number of driver nodes needed to control directed networks, during node in- and out-degree targeted removals. By validating the proposed methods on synthetic and real-world networks, we show that our methods work reasonably well. Moreover, when the fraction of the removed nodes is below 10% the analytical results of random removals can also be used to predict the results of targeted node removals.https://www.mdpi.com/1099-4300/25/4/656controllabilitycomplex networksnode removals |
spellingShingle | Fenghua Wang Robert E. Kooij Robustness of Network Controllability with Respect to Node Removals Based on In-Degree and Out-Degree Entropy controllability complex networks node removals |
title | Robustness of Network Controllability with Respect to Node Removals Based on In-Degree and Out-Degree |
title_full | Robustness of Network Controllability with Respect to Node Removals Based on In-Degree and Out-Degree |
title_fullStr | Robustness of Network Controllability with Respect to Node Removals Based on In-Degree and Out-Degree |
title_full_unstemmed | Robustness of Network Controllability with Respect to Node Removals Based on In-Degree and Out-Degree |
title_short | Robustness of Network Controllability with Respect to Node Removals Based on In-Degree and Out-Degree |
title_sort | robustness of network controllability with respect to node removals based on in degree and out degree |
topic | controllability complex networks node removals |
url | https://www.mdpi.com/1099-4300/25/4/656 |
work_keys_str_mv | AT fenghuawang robustnessofnetworkcontrollabilitywithrespecttonoderemovalsbasedonindegreeandoutdegree AT robertekooij robustnessofnetworkcontrollabilitywithrespecttonoderemovalsbasedonindegreeandoutdegree |