English

Emergence of scaling in random networks

Disordered Systems and Neural Networks 2015-06-25 v1 adap-org Statistical Mechanics Adaptation and Self-Organizing Systems

Abstract

Systems as diverse as genetic networks or the world wide web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature is found to be a consequence of the two generic mechanisms that networks expand continuously by the addition of new vertices, and new vertices attach preferentially to already well connected sites. A model based on these two ingredients reproduces the observed stationary scale-free distributions, indicating that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.

Keywords

Cite

@article{arxiv.cond-mat/9910332,
  title  = {Emergence of scaling in random networks},
  author = {Albert-Laszlo Barabasi and Reka Albert},
  journal= {arXiv preprint arXiv:cond-mat/9910332},
  year   = {2015}
}

Comments

11 pages, 2 figures