Volume 38, Number 4, August 2020
|Page(s)||913 - 917|
|Published online||06 October 2020|
A New Evolution Model for Weighted Directed Networks
School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
2 Sino-French Engineer School of Beihang University, Beijing 100191, China
The most of the recent models of directed weighted network evolution capture the growth process based on two conventional assumptions: constant average degree assumption and slowly growing diameter assumption. Such evolution models cannot fully support and reflect the dense power law and diameter shrinkage in the process of evolution of real networks. In this paper, a new evolution model, called BBVd, is proposed for directed weighted networks by extending BBV model with the idea of the Forest Fire model. In BBVd, new directed edges are established with probabilities computed based on in/our-strength of nodes, with dynamical evolution of weights for local directed edges. The experimental result shows that the generated networks using BBVd display power-law behavior for the node strength distributions, and moreover, it satisfies the densification power laws and has shrinking diameter.
Key words: directed weighted network / network evolution model / densification power laws / shrinking diameter
关键字 : 有向加权网络 / 网络演化模型 / 稠密幂律 / 直径收缩
© 2020 Journal of Northwestern Polytechnical University. All rights reserved.
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