Comparison of synchronizability in temporal networks with small-world and random topologies

We present a case study of how the topology of temporal networks affects their ability to synchronize. Specifically, we investigate chaotic pendula coupled through two distinct topologies of temporal networks: small-world and random. Both temporal networks evolve from a nearest-neighbor ring structure with identical edge-rewiring probabilities and timescales. The chaotic pendula are initialized with the same distribution of initial conditions. Here, the edge-rewiring probability refers to the likelihood that one endpoint of an edge is disconnected and then reconnected to a different, randomly chosen node-with self-connections and duplicate edges excluded. The timescale denotes the interval between successive network-rewiring events. The objective is to determine which temporal topology (small-world or random) more effectively facilitates synchronization under the same edge-rewiring parameters. Our results show that synchronization occurs only when the edge-rewiring probability exceeds a critical threshold specific to each network type. For networks with short timescales, temporal random networks achieve synchronization at lower edge-rewiring probabilities and at a faster rate. In contrast, when edge-rewiring probabilities are higher, temporal small-world networks exhibit better synchronization performance over longer timescales. When the edge-rewiring probability reaches one, both network types exhibit comparable synchronization levels. Additionally, we analyze the synchronizability of these temporal networks at short timescales using the master-stability function and proposed the edge-variation rate for analyzing synchronizability at longer timescales. Both analytical approaches provide approximate predictions that align with our numerical results.

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Publication Details

Journal
Physical review. E
Published
2025-10-09
DOI
https://doi.org/10.1103/5mvv-zf4z
Citations
1
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
1.49
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article

Comparison of synchronizability in temporal networks with small-world and random topologies

Xiaoming Liang, Jun Zhou, Jie Zhou
1 citations
Physical review. E
Nonlinear Dynamics and Pattern Formation
1.49
article

Comparison of synchronizability in temporal networks with small-world and random topologies

Xiaoming Liang, Jun Zhou, Jie Zhou
article en
1 citations

Abstract

We present a case study of how the topology of temporal networks affects their ability to synchronize. Specifically, we investigate chaotic pendula coupled through two distinct topologies of temporal networks: small-world and random. Both temporal networks evolve from a nearest-neighbor ring structure with identical edge-rewiring probabilities and timescales. The chaotic pendula are initialized with the same distribution of initial conditions. Here, the edge-rewiring probability refers to the likelihood that one endpoint of an edge is disconnected and then reconnected to a different, randomly chosen node-with self-connections and duplicate edges excluded. The timescale denotes the interval between successive network-rewiring events. The objective is to determine which temporal topology (small-world or random) more effectively facilitates synchronization under the same edge-rewiring parameters. Our results show that synchronization occurs only when the edge-rewiring probability exceeds a critical threshold specific to each network type. For networks with short timescales, temporal random networks achieve synchronization at lower edge-rewiring probabilities and at a faster rate. In contrast, when edge-rewiring probabilities are higher, temporal small-world networks exhibit better synchronization performance over longer timescales. When the edge-rewiring probability reaches one, both network types exhibit comparable synchronization levels. Additionally, we analyze the synchronizability of these temporal networks at short timescales using the master-stability function and proposed the edge-variation rate for analyzing synchronizability at longer timescales. Both analytical approaches provide approximate predictions that align with our numerical results.

Physical review. EVol. 112(4)
Jiangsu Normal University (CN), East China Normal University (CN)
Openalex Percentile: Top 12%
Nonlinear Dynamics and Pattern Formation
1.49
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Comparison of synchronizability in temporal networks with small-world and random topologies — Xiaoming Liang, Jun Zhou, et al. · Physical review. E (2025) | TGRS Research Map | TGRS