Estimating trade flow based on network topology
Wen-Qi Duan
Physica A: Statistical Mechanics and its Applications, 2008, vol. 387, issue 2, 519-527
Abstract:
Betweenness is often considered as a direct or slightly modified approximation of real-life flow in the study of transport networks. We test this assumption by comparing the estimated traffic pattern with the real-life traffic pattern of 53 international trade networks. The results reveal that there are fundamental differences between these two traffic patterns, and that betweenness is not a good flow estimator. To calculate the modified betweenness, we propose a new algorithm that assumes the following: (1) the transport requirement sent and received by any pair of nodes is in proportion to the product of their node transport requirements and in inverse proportion to their network distance, and (2) each node transport requirement is in proportion to the corresponding node modified betweenness. The resulting modified betweenness networks have reproduced most real-life traffic patterns with a similar probability density distribution of flow, local heterogeneity of flow distribution, and weighted average nearest-neighbours flow.
Keywords: Trade flow; Complex networks; Econophysics (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437107010035
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:387:y:2008:i:2:p:519-527
DOI: 10.1016/j.physa.2007.09.018
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 ().