文章基本信息

标题：AN IDENTIFICATION METHOD FOR THE HUB NODE OF URBAN TRANSPORT NETWORK BASED ON THE LOCAL MODULARITY
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作者：LIU SHAO-HAI ; WU JIN- ZHAO ; AN NA 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：48
期号：1
页码：626-631
出版社：Journal of Theoretical and Applied
摘要：It is a major scientific theoretical significance and practical value that the identification of the hub node in the transport network. This paper presents a new method which can detect the hub node of the urban transportation based on the idea of local modularity measure. Evaluation indicators include node degree, clustering coefficient, peak hour traffic flow. First, apply a complex network of local modularity Societies division method. Second, looking for societies where the node with the largest peak-hour traffic flow .Last, identify the hub nodes in the transport network. Since the algorithm is reflected from the static and dynamic characteristics of the transport network node, it is the Hub node identification in the transport network that is a high degree of accuracy. Through the surrounding junctions along the Chang'an Avenue in Beijing as an example, verify the feasibility of the method.
关键词：Complex Networks; Urban Transport Network; HUB node ; Local Modularity