Academic
Publications
Average distance as a predictor of synchronisability in networks of coupled oscillators

Average distance as a predictor of synchronisability in networks of coupled oscillators,Anthony H. Dekker

Average distance as a predictor of synchronisability in networks of coupled oscillators  
BibTex | RIS | RefWorks Download
The importance of networks of coupled oscillators is widely recognized. Such networks occur in biological systems like the heart, in chemical systems, in computational problems, and in engineering systems. Systems of coupled oscillators can also be used as an abstract model for synchronisation in organisations. Here we show that synchronisability in a specific coupled- oscillator model, the Kuramoto model, is best predicted using the average distance (or characteristic path length) between nodes in the network. We do this by simulating the Kuramoto dynamics on a collection of networks of varying type, including Random, Small-World, and Scale- Free networks. Furthermore, we show that, for several real-world networks, a simple estimate based on the average distance can predict the coupling required for networks to synchronise within a threshold time. .
Conference: Australasian Computer Science Conference - ACSC , pp. 127-132, 2010
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.