摘要
本文运用复杂网络理论,对我国北京、上海、广州和深圳等城市的地铁网络进行了实证研究.分别研究了地铁网络的度分布、聚类系数和平均路径长度.研究表明,该网络具有高的聚类系数和短的平均路径长度,显示小世界网络的特征,其度分布并不严格服从幂律分布或指数分布,而是呈多段的分布,显示层次网络的特征.此外,它还具有重叠的社团结构特征.基于实证研究的结果,提出一种基于社团结构的交通网络模型,并对该模型进行了模拟分析,模拟结果表明,该模型的模拟结果与实证研究结果相符.此外,该模型还能解释其他类型的复杂网络(如城市公共汽车交通网络)的网络特性.
In this paper, we present the empirical investigation results for the urban subway networks in China. The results show that all the urban subway networks have high clustering coefficient and small character path length, which exhibit a small-world behavior, the degree distributions take multiplicative exponential function forms. Otherwise, these networks are hierarchically organized by overlapping cliques, which are all the globally coupled networks. To explain these results, we introduce a network model, which is in good agreement with the empirical results; in addition, this model can explain the evolutionary procedure of other networks, such as the urban bus transport networks or the film actor networks.
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2013年第9期500-506,共7页
Acta Physica Sinica
基金
国家自然科学基金(批准号:11074067)资助的课题~~
关键词
复杂网络
地铁网络
小世界
社团
complex networks
urban subway network
small-world
community
