Hierarchical Structure, Disassortativity and Information Measures of the US Flight Network  

作　　者：王茹 蔡勖 

机构地区：[1]Institute of Particle Physics, Huazhong Normal University, Wuhan 430079

出　　处：《Chinese Physics Letters》2005年第10期2715-2718,共4页中国物理快报（英文版）

基　　金：Supported in part by the National Natural Science Foundations of China under Grant Nos 70271067 and 70401020.

摘　　要：We investigate the mixing structure of directed and evolutionary US flight network. It is shown that such a network is a hierarchical network, with average assortativity coefficient-0.37. Application of the informationbased method that can give the same result provides a way to explore the structure of complex networks.We investigate the mixing structure of directed and evolutionary US flight network. It is shown that such a network is a hierarchical network, with average assortativity coefficient-0.37. Application of the informationbased method that can give the same result provides a way to explore the structure of complex networks.

关 键 词：COMPLEX NETWORKS SMALL-WORLD ORGANIZATION EVOLUTION 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]