Hybrid evolving clique-networks and their communicability
Social and Information Networks
2015-06-18 v1 Physics and Society
Abstract
Aiming to understand real-world hierarchical networks whose degree distributions are neither power law nor exponential, we construct a hybrid clique network that includes both homogeneous and inhomogeneous parts, and introduce an inhomogeneity parameter to tune the ratio between the homogeneous part and the inhomogeneous one. We perform Monte-Carlo simulations to study various properties of such a network, including the degree distribution, the average shortest-path-length, the clustering coefficient, the clustering spectrum, and the communicability.
Cite
@article{arxiv.1403.0448,
title = {Hybrid evolving clique-networks and their communicability},
author = {Yimin Ding and Bin Zhou and Xiaosong Chen},
journal= {arXiv preprint arXiv:1403.0448},
year = {2015}
}