Local-world evolving networks with tunable clustering

Thumbnail Image

Date

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

We propose an extended local-world evolving network model including a triad formation step. In the process of network evolution, random fluctuation in the number of new edges is involved. We derive analytical expressions for degree distribution, clustering coefficient and average path length. Our model can unify the generic properties of real-life networks: scale-free degree distribution, high clustering and small inter-node separation. Moreover, in our model, the clustering coefficient is tunable simply by changing the expected number of triad formation steps after a single local preferential attachment step.
18 pages, 6 figures. Accepted for publication in Physica A

Keywords

Statistical Mechanics, Other Condensed Matter

Citation

URI

http://salesiana.dossiersoluciones.com/handle/123456789/128746

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cond-mat/0505589
 http://arxiv.org/abs/cond-mat/0505589
 Physica A 380 (2007) 639-650
 doi:10.1016/j.physa.2007.02.045

Collections

arXiv