随机游动
随机游走算法
统计物理学
数学
GSM演进的增强数据速率
计算机科学
统计
物理
人工智能
作者
Xing-Li Jing,Xiang Ling,Jiancheng Long,Qing Shi,Mao-Bin Hu
出处
期刊:International Journal of Modern Physics C
[World Scientific]
日期:2014-10-27
卷期号:26 (06): 1550068-1550068
被引量:1
标识
DOI:10.1142/s0129183115500680
摘要
Random walks on complex networks are of great importance to understand various types of phenomena in real world. In this paper, two types of biased random walks on nonassortative weighted networks are studied: edge-weight-based random walks and node-strength-based random walks, both of which are extended from the normal random walk model. Exact expressions for stationary distribution and mean first return time (MFRT) are derived and examined by simulation. The results will be helpful for understanding the influences of weights on the behavior of random walks.
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