2004/12/31 by W. Jezewski, W. Jeżewski
Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #Neural Networks Stability and Synchronization #Opinion Dynamics and Social Influence #cond-mat.dis-nn
paper · pdf · doi:10.1016/j.physa.2005.02.026
published as Physica A 354 (2005) 672-680 · 9 pages
openalex publication_date 2005/03/22 · arxiv created 2005/03/23 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
The rate equations are used to study the scale-free behavior of the weight distribution in evolving networks whose topology is determined only by degrees of preexisting vertices. An analysis of these equations shows that the degree distribution and thereby the weight distribution remain unchanged when the probability rate of attaching new nodes is replaced with some unnormalized rate determined by the ratio of the degree of a randomly selected old node to the maximal node degree at the current stage of the network evolution. Such a modification of the attachment rule is argued to accelerate considerably numerical simulations of both unweighted and weighted networks belonging to the class of investigated evolving systemes. It is also proved that the studied rate equations have a solution corresponding to the total (concentrated at individual vertices) distribution displaying the power-law behavior for asymptotically large weights.