...
首页> 外文期刊>Procedia - Social and Behavioral Sciences >Finding Community Structure and Evaluating Hub Road Section in Urban Traffic Network
【24h】

Finding Community Structure and Evaluating Hub Road Section in Urban Traffic Network

机译:在城市交通网络中寻找社区结构并评估枢纽路段

获取原文
           

摘要

An algorithm is proposed to find out community structure and evaluate Hub road section in urban traffic network based on GN algorithm (Girvan and Newman, 2004), namely GN-T algorithm. The algorithm involves iterative removals of links to split urban traffic network into communities, in which the removed links are identified by “maximal between-value”, and the remainders need to be recalculated after each removal. An improved modularity is also presented to determine the appropriate numbers of community structure into which urban traffic network should be divided. A case study on Wuchang shows the urban traffic network possesses the characteristics of community structure, and the Hub road sections in this network derived from the algorithm is consistent with actual situation. The results demonstrate the algorithm is highly effective and available.
机译:提出了一种基于GN算法(Girvan和Newman,2004)的城市交通网络中的社区结构查找和枢纽路段评估算法(Girvan和Newman,2004)。该算法涉及迭代删除链接,以将城市交通网络划分为社区,其中删除的链接以“最大中间值”标识,其余每次删除后都需要重新计算。还提出了改进的模块,以确定应将城市交通网络划分为的社区结构的适当数量。以武昌市为例,表明城市交通网络具有社区结构的特征,该网络从算法中得出的枢纽路段与实际相符。结果表明该算法是有效的并且可以使用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号