Evolving Model for the Complex Traffic and Transportation Network Considering Self-Growth Situation
Joint Authors
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-30
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
It has been approved that the scale-free feature exists in various complex networks, such as the internet, the cell or the biological networks.
In order to analyze the influence of the self-growth phenomenon during the growth on the structure of traffic and transportation network, we formulated an evolving model.
Based on the evolving model, we prove in mathematics that, even that the self-growth situation happened, the traffic and transportation network owns the scale-free feature due to that the node degree follows a power-law distribution.
A real traffic and transportation network, China domestic airline network is tested to consolidate our conclusions.
We find that the airline network has a node degree distribution equivalent to the power-law of which the estimated scaling parameter is about 3.0.
Moreover the standard error of the estimated scaling parameter changes according to the self-growth probability.
Our findings could provide useful information for determining the optimal structure or status of the traffic and transportation network.
American Psychological Association (APA)
Zhang, Wei& Xu, Di. 2012. Evolving Model for the Complex Traffic and Transportation Network Considering Self-Growth Situation. Discrete Dynamics in Nature and Society،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-460934
Modern Language Association (MLA)
Zhang, Wei& Xu, Di. Evolving Model for the Complex Traffic and Transportation Network Considering Self-Growth Situation. Discrete Dynamics in Nature and Society No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-460934
American Medical Association (AMA)
Zhang, Wei& Xu, Di. Evolving Model for the Complex Traffic and Transportation Network Considering Self-Growth Situation. Discrete Dynamics in Nature and Society. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-460934
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-460934