A spatial weighted network model based on optimal expected traffic

Jiang-Hai Qian and Ding-Ding Han

Physica A: Statistical Mechanics and its Applications, 2009, vol. 388, issue 19, 4248-4258

Abstract: We propose a spatial weighted network model based on the optimal expected traffic. The expected traffic represents the prediction of the flow created by two vertices and is calculated by the improved gravity equation. The model maximizes the total expected traffic of the network. By changing two parameters which control the fitness and the geographical constraints, the model can vary its topology and give rise to a variety of statistical properties observed in the real-world network. Notably, our study shows that a linear and a nonlinear strength–degree correlation can emerge when considering and neglecting the “transport effect”, respectively.

Keywords: Spatial weighted network model; Optimal expected traffic; Improved gravity equation; Fitness; Geographical constraints (search for similar items in EconPapers)
Date: 2009
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437109004130
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:388:y:2009:i:19:p:4248-4258

DOI: 10.1016/j.physa.2009.05.047

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().