1. The School of Mathematics and Statistics, Hunan University of Commerce, Changsha 410205, China;
2. Key Laboratory of Hunan Province for Mobile Business Intelligence, Hunan University of Commerce, Changsha 410205, China;
3. UNIHAVRE, LMAH, Normandie University, FR-CNRS-3335, ISCN, 76600 Le Havre, France;
4. UNIHAVRE, LITIS, Normandie University, FR-CNRS-3638, ISCN, 76600 Le Havre, France
Corresponding author (email: email@example.com)
Topology identification of complex networks is an important problem. Existing research shows that the synchronization of network nodes is an obstacle in the identification of network topology. Identification of the structure of the network presents an interesting challenge during the synchronization of complex networks. We developed a new method using the sinusoidal disturbance to identify the topology when the complex network achieves synchronization. Compared with the disturbance of all the nodes, the disturbance of the key nodes alone can achieve a very good effect. Finally, numerical simulation data are provided to validate our hypothesis.
This work was jointly supported by National Natural Science Foundation of China (Grant Nos. 61203159, 61573011, 61273232, 61472136), Haute-Normandie region France, and Project ERDF (European Regional Development Fund) on Complex Networks and Applications.
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