Leading Parameters Controlling Synchronizability of Complex Networks
Changsong Zhou
Abstract
Changsong Zhou
Abstract
We study complete synchronization of chaotic oscillators in weighted complex networks and we show that the ability of the networks to achieve synchronization (synchronizability) is universally determined by two leading parameters in random networks and is independent of the degree distribution. The leading parameters are the mean degree and the heterogeneity of the distribution of node’s intensity, where the intensity of a node, defined as the total strength of input connections, is a natural combination of topology and weights.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
We study complete synchronization of chaotic oscillators in weighted complex networks and we show that the ability of the networks to achieve synchronization (synchronizability) is universally determined by two leading parameters in random networks and is independent of the degree distribution. The leading parameters are the mean degree and the heterogeneity of the distribution of node’s intensity, where the intensity of a node, defined as the total strength of input connections, is a natural combination of topology and weights.
Key concepts: Synchronization (alternating current), Node (physics), Topology (electrical circuits), Complex network, Degree (music), Synchronization networks, Mathematics, Degree distribution