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Multiple moving agents on complex networks: From intermittent synchronization to complete synchronization

Tongfeng Weng, Xiaolu Chen, Zhuoming Ren, Jin Xu and Huijie Yang

Physica A: Statistical Mechanics and its Applications, 2023, vol. 614, issue C

Abstract: We investigate multiple moving agents on complex networks. Each of them takes a random walk strategy and carries a chaotic oscillator. Remarkably, we find that with increasing the number of agents, a significant transition occurs from intermittent synchronization to complete synchronization. In particular, we observe that the distribution of laminar length presents a clearly power-law behavior in the intermittent synchronization stage. While reaching a complete synchronization state, correlation dimension and recurrence time statistics of synchronous orbits are in excellent agreement with that of their carrying chaotic system under consideration. Our work reveals that the number of moving agents has a profound effect on shaping synchronization behaviors.

Keywords: Multiple moving agents; Complex networks; Synchronization; Correlation dimension (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:614:y:2023:i:c:s0378437123001176

DOI: 10.1016/j.physa.2023.128562

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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