Influence of Malfunction and Attack on Target Controllability

DOI

10.2991/icmeit-19.2019.38How to use a DOI?

Keywords

complex network; target control; controllability; structural controllability.

Abstract

Target controllability is an interesting property of complex network and attracts many researchers from different fields. However, controlling large natural or technological networks is a great challenge. But it is not feasible and sometimes unnecessary to control the entire network, hence target control seems efficient in this situation. The greedy algorithm was developed and offers a good approximation to calculate the minimum number of driver nodes, where control signals are injected, for control the target nodes in the network. Based on the target control theory, we investigate the target controllability of directed Erdős-Rényi and the Barabási-Albert networks under attack or failure. Results show that degree-based node attack is more efficient than random attacks in directed BA networks on network target controllability but the similar in directed ER networks.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liming Zhang
AU  - Zhijian Zhang
AU  - Yuan Chen
AU  - Qianyu Ji
AU  - Jian Wang
PY  - 2019/04
DA  - 2019/04
TI  - Influence of Malfunction and Attack on Target Controllability
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 218
EP  - 223
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.38
DO  - 10.2991/icmeit-19.2019.38
ID  - Zhang2019/04
ER  -