中文

Logarithmic growth dynamics in software networks

物理与社会 2007-05-23 v1 无序系统与神经网络 软件工程

摘要

In a recent paper, Krapivsky and Redner (Phys. Rev. E, 71 (2005) 036118) proposed a new growing network model with new nodes being attached to a randomly selected node, as well to all ancestors of the target node. The model leads to a sparse graph with an average degree growing logarithmically with the system size. Here we present compeling evidence for software networks being the result of a similar class of growing dynamics. The predicted pattern of network growth, as well as the stationary in- and out-degree distributions are consistent with the model. Our results confirm the view of large-scale software topology being generated through duplication-rewiring mechanisms. Implications of these findings are outlined.

关键词

引用

@article{arxiv.physics/0511064,
  title  = {Logarithmic growth dynamics in software networks},
  author = {Sergi Valverde and Ricard V. Sole},
  journal= {arXiv preprint arXiv:physics/0511064},
  year   = {2007}
}

备注

7 pages, 3 figures, published in Europhysics Letters (2005)