Energy-dynamics interplay in temporal networks triggers explosive synchronization
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866918138829864960 |
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| author | Mbonwouo, Romuald Kongni, Steve J. Muni, Sishu Shankar Lambu, Carmel T. Nguefoue, Venceslas Louodop, Patrick Njougouo, Thierry |
| author_facet | Mbonwouo, Romuald Kongni, Steve J. Muni, Sishu Shankar Lambu, Carmel T. Nguefoue, Venceslas Louodop, Patrick Njougouo, Thierry |
| contents | In this paper, we investigate how the internal dynamics of the systems within a network influence the transition to synchronization in adaptive networks of coupled Rossler systems. The network structure is dynamically determined by local energy rules, where links are established according to either intrinsic (conservative) or dissipative energy. By systematically varying one of the system parameter, the bifurcation of an isolated Rossler system illustrates three representative regimes-periodic, multiperiodic, and chaotic-and allows us to study their impact on the collective transition. Our results reveal that the nature of the synchronization transition strongly depends on the interplay between microscopic dynamics and the mesoscopic connectivity structure. Specifically, chaotic oscillators coupled via intrinsic energy exhibit conditions favorable to explosive synchronization, whereas periodic/multiperiodic oscillators consistently yield smooth, continuous transitions. In contrast, dissipative-energy-based connectivity suppresses explosivity in chaotic networks but may induce explosive behavior in multiperiodic systems as network density increases. These findings demonstrate that explosive synchronization is not solely a topological effect but emerges from a nontrivial interaction between local dynamical complexity and temporal network structure. This provides new insight into how internal oscillator states and coupling mechanisms jointly shape the collective organization and dynamic transitions patterns in complex systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_08651 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Energy-dynamics interplay in temporal networks triggers explosive synchronization Mbonwouo, Romuald Kongni, Steve J. Muni, Sishu Shankar Lambu, Carmel T. Nguefoue, Venceslas Louodop, Patrick Njougouo, Thierry Adaptation and Self-Organizing Systems In this paper, we investigate how the internal dynamics of the systems within a network influence the transition to synchronization in adaptive networks of coupled Rossler systems. The network structure is dynamically determined by local energy rules, where links are established according to either intrinsic (conservative) or dissipative energy. By systematically varying one of the system parameter, the bifurcation of an isolated Rossler system illustrates three representative regimes-periodic, multiperiodic, and chaotic-and allows us to study their impact on the collective transition. Our results reveal that the nature of the synchronization transition strongly depends on the interplay between microscopic dynamics and the mesoscopic connectivity structure. Specifically, chaotic oscillators coupled via intrinsic energy exhibit conditions favorable to explosive synchronization, whereas periodic/multiperiodic oscillators consistently yield smooth, continuous transitions. In contrast, dissipative-energy-based connectivity suppresses explosivity in chaotic networks but may induce explosive behavior in multiperiodic systems as network density increases. These findings demonstrate that explosive synchronization is not solely a topological effect but emerges from a nontrivial interaction between local dynamical complexity and temporal network structure. This provides new insight into how internal oscillator states and coupling mechanisms jointly shape the collective organization and dynamic transitions patterns in complex systems. |
| title | Energy-dynamics interplay in temporal networks triggers explosive synchronization |
| topic | Adaptation and Self-Organizing Systems |
| url | https://arxiv.org/abs/2509.08651 |