English

Scale-free networks with self-growing weight

Disordered Systems and Neural Networks 2007-07-24 v2 Physics and Society

Abstract

We present a novel type of weighted scale-free network model, in which the weight grows independently of the attachment of new nodes. The evolution of this network is thus determined not only by the preferential attachment of new nodes to existing nodes but also by self-growing weight of existing links based on a simple weight-driven rule. This model is analytically tractable, so that the various statistical properties, such as the distribution of weight, can be derived. Finally, we found that some type of social networks is well described by this model.

Keywords

Cite

@article{arxiv.cond-mat/0701314,
  title  = {Scale-free networks with self-growing weight},
  author = {Takuma Tanaka and Toshio Aoyagi},
  journal= {arXiv preprint arXiv:cond-mat/0701314},
  year   = {2007}
}

Comments

10 pages, 5 figures

R2 v1 2026-07-22T11:42:04.168Z