美国 Facebook 好友关系的相对概率

IF 2.6 3区 经济学 Q2 ENVIRONMENTAL STUDIES Environment and Planning B: Urban Analytics and City Science Pub Date : 2024-08-12 DOI:10.1177/23998083241272094
Shruthy Nair, Clio Andris
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引用次数: 0

摘要

我们绘制了美国 48 个毗邻州相邻县之间的 Facebook 社交联系指数 (SCI)。该指数的计算方法是:县与县之间的 Facebook 好友数除以两个县的 Facebook 活跃用户数的乘积。这些结果遵循了区域科学的原则,即跨越政治(行政)边界(如州边界)和经济区之间(包括大都市区和腹地边界之间的过渡区)的流动可能较少。我们还发现,被州际公路分割的相邻县之间的连通性较低,人口稠密地区内部的连通性也较低。在农村地区和具有重要文化意义的地区,如美国南部非洲裔美国人较多的地区和阿巴拉契亚偏僻地区,连接性较高。
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The Relative Probability of Facebook Friendship in the United States
We mapped Facebook’s Social Connectedness Index (SCI) between adjacent counties in the Contiguous 48 U.S. States. The index is calculated as the number of Facebook friends between counties, divided by the product of active Facebook users in the two counties. The results follow regional science principles that tell us that fewer flows may occur across political (administrative) borders such as state boundaries, and between economic zones, including transition zones between metropolitan areas and hinterland boundaries. We also found low connectivity between adjacent counties that are divided by interstate highways and low connectivity within densely populated areas. High connectivity is found in rural areas, and areas of cultural significance, such as highly African American regions in the U.S. South and isolated regions in Appalachia.
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来源期刊
CiteScore
6.10
自引率
11.40%
发文量
159
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