Synchronizability and synchronization dynamics of weighed and unweighed scale free networks with degree mixing
Mario di Bernardo, Franco Garofalo, Francesco Sorrentino

TL;DR
This paper investigates how topological features like degree correlation affect the synchronizability of weighted and unweighted scale-free networks of nonlinear oscillators, revealing that disassortative networks synchronize more effectively.
Contribution
It introduces a network construction method to control degree correlation and demonstrates that disassortative networks enhance synchronizability, supported by analytical and numerical results.
Findings
Disassortative networks have improved synchronizability.
Negative degree correlation emerges when optimizing synchronization.
Weighted and unweighted networks show similar synchronization trends.
Abstract
We study the synchronizability and the synchronization dynamics of networks of nonlinear oscillators. We investigate how the synchronization of the network is influenced by some of its topological features such as variations of the power law exponent and the degree correlation coefficient . Using an appropriate construction algorithm based on clustering the network vertices in classes according to their degrees, we construct networks with an assigned power law distribution but changing degree correlation properties. We find that the network synchronizability improves when the network becomes disassortative, i.e. when nodes with low degree are more likely to be connected to nodes with higher degree. We consider the case of both weighed and unweighed networks. The analytical results reported in the paper are then confirmed by a set of numerical observations obtained on…
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Neural Networks Stability and Synchronization · Complex Network Analysis Techniques
