Network-based predictions of retail store commercial categories and optimal locations
Network-based predictions of retail store commercial categories and optimal locations
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DOI：
10.1103/physreve.74.035101
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发表时间：
2006-09-01
影响因子：
2.4
通讯作者：
Jensen, Pablo
中科院分区：
文献类型：
--
作者：
Jensen, Pablo
研究了零售商业活动的空间组织。这些被组织在一个网络中，该网络包括“反链接”，即负权重的链接。根据纯粹的位置数据，网络分析得出了一个紧密遵循美国劳工部商业分类的社区结构。互动网络使人们可以为商店建立一个最佳位置利基的“质量”指数，这已经经过了经验测试。
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.