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.
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页数：4
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