Epidemic spread in weighted networks
Disordered Systems and Neural Networks
2007-05-23 v1
Abstract
We study the detailed epidemic spreading process in scale-free networks with weight that denote familiarity between two people or computers. The result shows that spreading velocity reaches a peak quickly then decays representing power-law time behavior, and comparing to non-weighted networks, precise hierarchical dynamics is not found although the nodes with larger strength is preferential to be infected.
Cite
@article{arxiv.cond-mat/0407598,
title = {Epidemic spread in weighted networks},
author = {G. Yan and Tao Zhou and Jie Wang and Zhongqian Fu and Binghong Wang},
journal= {arXiv preprint arXiv:cond-mat/0407598},
year = {2007}
}
Comments
3 pages, 2 figures