A weighted evolving network model more approach to reality
无序系统与神经网络
2007-05-23 v1
摘要
In search of many social and economical systems, it is found that node strength distribution as well as degree distribution demonstrate the behavior of power-law with droop-head and heavy-tail. We present a new model for the growth of weighted networks considering the connection of nodes with low strengths. Numerical simulations indicate that this network model yields three power-law distributions of the node degrees, node strengths and connection weights. Particularly, the droop-head and heavy-tail effects can be reflected in the first two ones by this new model.
引用
@article{arxiv.cond-mat/0408155,
title = {A weighted evolving network model more approach to reality},
author = {Chuan-Ji Fu and Qing Ou and Wen Chen and Bing-Hong Wang and Ying-Di Jin and Yong-Wei Niu and Tao Zhou},
journal= {arXiv preprint arXiv:cond-mat/0408155},
year = {2007}
}
备注
5 pages, 5 eps figures