论文摘要
Infectious disease model is used to describe the global level of a complex network propagate, but in the real world, people pay more attention to the point to point level of a complex network propagate, especially for the quantification of point to point propagation. In order to solve this problem, we proposed a non-linear point to point propagation model of complex network based on edge weight calculation. Characteristics of edge propagation weight between nodes is described and quantified from point to point perspective. At the same time, nodes have a damping effect on propagation. The propagation damping calculation is incorporated into characteristics of edge propagation weight and node which is functional. Referring to some ideas of the neuron model, series theory and information transmission theory, and the model is verified in a large-scale financial risk propagation experiment.
论文目录
文章来源
类型: 国际会议
作者: Ya-wei ZHAO,Pu WANG,Yu-tao WANG,Gang LUO
来源: 2019 International Conference on Artificial Intelligence and Computing Science (ICAICS 2019) 2019-03-24
年度: 2019
分类: 基础科学,经济与管理科学
专业: 数学,金融
单位: Laboratory of Big Data Analysis Technology, Chinese Academy of Sciences,Institute of Quantitative Economy and Technological Economy, Chinese Academy of Social Sciences
分类号: F830;O157.5
DOI: 10.26914/c.cnkihy.2019.078397
页码: 305-311
总页数: 7
文件大小: 979k