摘要
以复杂网络理论为基础,分析海运网络的拓扑结构具有无标度特性.据此,针对港口节点进行研究,分析节点连接概率的影响因素,通过加权量化和MATLAB编程得到节点吸引度,进而改进了BA网络模型中的节点连接概率.选取2007和2010年全球15个主要港口的相关数据,运用上述改进模型分别得到2a的海运网络演化情况,验证了海运网络具有小世界和无标度网络特征,并得出2010年海运演化网络平均路径更短、集聚性更强,度值相差更悬殊,网络连接更加频繁与高效.
Based on complex network theory,the paper analyzes the shipping network topological structure owns characteristics of scale-free network.Accordingly,the paper focuses on research of port nodes in shipping network,analyzes influencing factors of node connection probability and works out node attraction degree through weighted quantification and MATLAB programming,then improves node connection probability of the BA network model.Relevant data about 15 global major container ports in 2007 and 2010 are selected and modeled by mentioned improved model to describe the shipping network evolving,evolving results prove that shipping network has the same characteristics as scale-free network,and evolving network in 2010 has following features： shorter average path,stronger clustering,larger differences in node degree,more frequent and efficient in network connections.
出处
《武汉理工大学学报（交通科学与工程版）》
2013年第3期496-500,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家社会科学基金项目(批准号:09BJL063)
教育部哲学社会科学研究重大课题攻关项目(批准号:11JZD049)资助
关键词
水路运输
海运网络演化
改进BA模型
复杂网络
连接概率
waterway transportation
shipping network evolving
improved BA model
complex network
connection probability
