Synchronized interval in random networks: The role of number of edges
Suman Acharyya

TL;DR
This paper investigates how the number of edges in random networks affects the stability range of synchronization among coupled oscillators, finding an optimal edge count that maximizes this synchronized interval.
Contribution
It analytically estimates the optimal number of edges for maximum synchronization stability in large random networks, validated by numerical results.
Findings
Maximum synchronized interval at an optimal number of edges
Analytical estimation matches numerical results in large networks
Deviation observed in small networks
Abstract
We study the synchronized interval in undirected and unweighted random networks of coupled oscillators as a function of the number of edges. In many coupled oscillator systems, synchronization is stable in a finite interval of coupling parameter, which we define as the synchronized interval. We find in random networks, the width of the synchronized interval is maximum for an optimal number of edges. We derive analytically an estimation for this optimal value of the number of edges. In small networks, the analytical estimation deviates from the numerical results. However, in large networks the analytical and numerical results are in excellent agreement.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Neural Networks Stability and Synchronization · Cellular Automata and Applications
