Referenced Items are not available for this document.
An evolving model is proposed to characterize weighted complex networks. Our model is based on the weighted network model proposed by Alain Barrat et al. (BBV for shot), emergences of new links according to triad formation and random selection mechanism, interactions more easily occur between neighbors (friends of friends) in our model. The evolution of degree and strength exhibit the power-law distributions. The average strength displays scale-free property with degree. The nontrivial clustering coefficient is investigated depending on parameters of model. A weighted scale-free network with high clustering coefficient can be obtained by adjusting two parameters of our model.
Published in:
Communication Software and Networks, 2009. ICCSN '09. International Conference on
Date of Conference: 27-28 Feb. 2009
- Page(s):
- 295 - 298
- Print ISBN:
- 978-0-7695-3522-7
- INSPEC Accession Number:
- 10720248
- Conference Location :
- Macau
- Digital Object Identifier :
- 10.1109/ICCSN.2009.81
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
