Delineating Geographical Regions with Networks of Human Interactions in an Extensive Set of Countries

被引:114
作者
Sobolevsky, Stanislav [1 ]
Szell, Michael [1 ]
Campari, Riccardo [1 ]
Couronne, Thomas [2 ,3 ,4 ]
Smoreda, Zbigniew [2 ,3 ,4 ]
Ratti, Carlo [1 ]
机构
[1] MIT, Senseable City Lab, Cambridge, MA 02139 USA
[2] Orange Labs, Sociol Network, Paris, France
[3] Orange Labs, Econ Network, Paris, France
[4] Orange Labs, Dept Serv, Paris, France
来源
PLOS ONE | 2013年 / 8卷 / 12期
基金
美国国家科学基金会;
关键词
MOBILITY;
D O I
10.1371/journal.pone.0081707
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Large-scale networks of human interaction, in particular country-wide telephone call networks, can be used to redraw geographical maps by applying algorithms of topological community detection. The geographic projections of the emerging areas in a few recent studies on single regions have been suggested to share two distinct properties: first, they are cohesive, and second, they tend to closely follow socio-economic boundaries and are similar to existing political regions in size and number. Here we use an extended set of countries and clustering indices to quantify overlaps, providing ample additional evidence for these observations using phone data from countries of various scales across Europe, Asia, and Africa: France, the UK, Italy, Belgium, Portugal, Saudi Arabia, and Ivory Coast. In our analysis we use the known approach of partitioning country-wide networks, and an additional iterative partitioning of each of the first level communities into sub-communities, revealing that cohesiveness and matching of official regions can also be observed on a second level if spatial resolution of the data is high enough. The method has possible policy implications on the definition of the borderlines and sizes of administrative regions.
引用
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页数:10
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