摘要
基于复杂网络模体和超家族辨识方法,辨析国家关键交通网络的基元结构特性和系综特征.研究表明交通网络模体应表述为受到成本、技术和空间约束下,适应网络功能设计和建设,预先明确的、非随机的特定结构形式.阐述了交通地理网和服务网的4节点子图浓度分布的异同,进一步基于4节点子图比剖面阐明了关键交通网络的家族分类和属性特征.
Based on the notion of network motif and the superfamily identification method, this paper systematically detects the characteristics of building blocks and superfamilies for several national critical transportation networks in China. Results show that transportation network motifs are pre- defined and non-random local patterns, which are more probable to represent economic cost, technological constraints, and geographical limits in network structures. Moreover, the 4-node subgraph concentration rank of the networks can be divided into two kinds, each corresponding to geography network or service network. Furthermore, based on 4-node subgraph ratio profile （SRP）, the transportation networks can be classified into two types of families, which may allow an easily interpretable view of the transportation system.
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第1期53-59,共7页
Journal of Tongji University:Natural Science
基金
国家自然科学基金(91024023
70640007
70871091
70871093)
中国博士后科学基金(2012M520935)
上海市重点学科建设项目(B310)
关键词
关键交通网络
模体
子图浓度
超家族
critical transportation network
motif
subgraph concentration
superfamily
