地理与地理信息科学

2013, v.29(06) 1-6

[打印本页] [关闭]
本期目录(Current Issue) | 过刊浏览(Past Issue) | 高级检索(Advanced Search)

基于签到数据的城市间交互网络研究
Study on Interactive Network among Chinese Cities Based on the Check-in Dataset

隋正伟;邬伦;刘瑜;
SUI Zheng-wei;WU Lun;LIU Yu;Institute of Remote Sensing and Geographical Information Systems,Peking University;

摘要(Abstract):

大数据时代的到来及LBS(Location Based Service)服务的迅猛发展产生了前所未有的海量精度高、范围广的数据,这为研究人类行为模式及由此产生的城市间交互研究提供了新的途径。该文利用带有位置的签到数据,通过提取个体在城市间的移动轨迹构建了中国城市间交互网络,并通过复杂网络理论与方法对城市间交互网络的基本特征和区域结构空间格局进行了实证研究。研究表明,中国城市间交互网络呈现小世界特性和区域化结构状态,由于城市规模分布不同造成了城市间交互强度的幂律分布特征,中国城市体系形成了8个国家级城市区域和21个省级地方城市区域的总体格局,区域边界与行政边界呈现了高度的吻合。
In the era of big data,large volumes of geo-tagged check-in records,collected from on-line location based services such as Sina Micro-blog,Jiepang,and Renren Places,covering millions of user,provide a promising approach for investigating large-scale individuals′trajectory patterns as well as spatial interaction characteristics among cities.In this paper,applying complex network theory and methods,the statistics and community structure of an undirected weighted network are revealed,which includes 370cities in China.The network is constructed according to large amounts of users′trajectories between cities.Each edge in the network represents the interaction strength between two cities.Using complex network analyzing features,such as degrees,diameter,clustering coefficient,average path length,the result shows that the Chinese cities′interactive network exhibits a small-world feature.Based on the community detection method——multi-level method,the modularity is used to compare the quality in the process of hierarchical community structure detection.The results show that the regional structure characteristics of the interactive network among Chinese cities and the inter-urban interaction strengths show a power-law distribution.The Chinese city system can be divided into 8national level areas and 21provincial level areas and the divided area boundary coincide with the administrative boundary very well.

关键词(KeyWords): 签到数据;交互强度;中国城市;复杂网络
check-in data;interaction strength;Chinese cities;complex network

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41271386)

作者(Author): 隋正伟;邬伦;刘瑜;
SUI Zheng-wei;WU Lun;LIU Yu;Institute of Remote Sensing and Geographical Information Systems,Peking University;

Email:

DOI:

参考文献(References):

扩展功能
本文信息
服务与反馈
本文关键词相关文章
本文作者相关文章
中国知网
分享