Influence of Malfunction and Attack on Target Controllability
Liming Zhang, Zhijian Zhang, Yuan Chen, Qianyu Ji, Jian Wang
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.38How to use a DOI?
- complex network; target control; controllability; structural controllability.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/icmeit-19.2019.38 ID - Zhang2019/04 ER -