Network-based predictions of retail store commercial categories and optimal locations

被引：71

作者：

Jensen, Pablo

机构：

[1] Ecole Normale Super Lyon, Phys Lab, CNRS, UMR 5672, F-69364 Lyon 07, France

[2] Univ Lyon 2, ISH, CNRS, UMR 5593,Lab Econ Transport, F-69007 Lyon, France

来源：

PHYSICAL REVIEW E | 2006年 / 74卷 / 03期

关键词：

Retail stores;

D O I：

10.1103/PhysRevE.74.035101

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

I study the spatial organization of retail commercial activities. These are organized in a network comprising "antilinks," i.e., links of negative weight. From pure location data, network analysis leads to a community structure that closely follows the commercial classification of the U.S. Department of Labor. The interaction network allows one to build a "quality" index of optimal location niches for stores, which has been empirically tested.

引用

页数：4

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