English

Network Structure, Topology and Dynamics in Generalized Models of Synchronization

Disordered Systems and Neural Networks 2015-06-04 v1 Social and Information Networks Chaotic Dynamics Physics and Society

Abstract

We explore the interplay of network structure, topology, and dynamic interactions between nodes using the paradigm of distributed synchronization in a network of coupled oscillators. As the network evolves to a global steady state, interconnected oscillators synchronize in stages, revealing network's underlying community structure. Traditional models of synchronization assume that interactions between nodes are mediated by a conservative process, such as diffusion. However, social and biological processes are often non-conservative. We propose a new model of synchronization in a network of oscillators coupled via non-conservative processes. We study dynamics of synchronization of a synthetic and real-world networks and show that different synchronization models reveal different structures within the same network.

Keywords

Cite

@article{arxiv.1203.1338,
  title  = {Network Structure, Topology and Dynamics in Generalized Models of Synchronization},
  author = {Kristina Lerman and Rumi Ghosh},
  journal= {arXiv preprint arXiv:1203.1338},
  year   = {2015}
}
R2 v1 2026-06-21T20:30:01.511Z