@inproceedings{19d94a83fe0d4c71897e0c9f1ed923d5,
title = "Enhancing Controllability of Complex Networks with Minimum Cost",
abstract = "Complex networks operate in all areas of human life. As a key and popular research direction in the complexity discipline, the study of complex networks has a significant impact and contribution to multidisciplinary fields. In this paper, we study the problem of enhancing network controllability by adding edges from a given candidate set with minimum cost based on the structural controllability theory of complex networks. Specifically, we first formulate such a problem as a bi-objective network optimization model and then transform it into a network flow problem. An algorithm named Controllability Enhancement based Minimum-cost Max-flow (CEMM) is proposed, which can achieve: 1) A certain number of edges selected in the candidate set are added to a network such that the number of driver nodes is minimized; 2) The minimum cost of newly added edges is guaranteed. The feasibility of CEMM is verified by simulations in generative models and real-life networks.",
keywords = "complex networks, controllability enhancement, structural controllability",
author = "Jia Li and Jie Ding and Wei Wang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 17th IEEE Conference on Industrial Electronics and Applications, ICIEA 2022 ; Conference date: 16-12-2022 Through 19-12-2022",
year = "2022",
doi = "10.1109/ICIEA54703.2022.10006286",
language = "英语",
series = "ICIEA 2022 - Proceedings of the 17th IEEE Conference on Industrial Electronics and Applications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "237--242",
editor = "Wenxiang Xie and Shibin Gao and Xiaoqiong He and Xing Zhu and Jingjing Huang and Weirong Chen and Lei Ma and Haiyan Shu and Wenping Cao and Lijun Jiang and Zeliang Shu",
booktitle = "ICIEA 2022 - Proceedings of the 17th IEEE Conference on Industrial Electronics and Applications",
address = "美国",
}