On social permeability of municipal borders

A. Yashunsky
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引用次数: 1

Abstract

The article investigates the intensity of social interaction between the population of different municipalities in Russian Federation. This interaction is estimated using user profile data from online social networks: a data source that grows more and more popular in population geography studies. We build a qualitative indicator of social interaction using data on the number of interregional friendship links for «VKontakte» social network users that live in different municipalities and have an open social network profile. We show that the intensity of social interaction is higher on the average for municipalities that share a common border. Social interaction intensity data is then used to characterize the permeability of municipality borders. We choose the least permeable borders among all border segments of municipalities in Russian Federation: those with the smallest transborder interaction intensity values and describe the social barriers that are revealed this way. We describe various configurations of these barriers and suggest hypotheses for the reasons why such barriers appear or do not appear. We also analyze several groups of socially insular groups of municipalities in the Khanty- Mansi Autonomous Okrug and the Yamalo-Nenets Autonomous Okrug and suggest possible reasons for their insularity.
论城市边界的社会渗透性
本文调查了俄罗斯联邦不同城市人口之间的社会互动强度。这种相互作用是使用来自在线社交网络的用户资料数据来估计的:这是一种在人口地理学研究中越来越受欢迎的数据源。我们使用“VKontakte”社交网络用户的区域间友谊链接数量数据建立了社会互动的定性指标,这些用户居住在不同的城市,并拥有开放的社交网络档案。我们表明,在拥有共同边界的城市中,社会互动的强度平均较高。然后使用社会互动强度数据来表征城市边界的渗透率。我们在俄罗斯联邦各市的所有边界段中选择了渗透性最低的边界:那些跨境互动强度值最小的边界,并描述了通过这种方式揭示的社会障碍。我们描述了这些障碍的各种配置,并对这些障碍出现或不出现的原因提出了假设。我们还分析了汉特-曼西自治区和亚马尔-涅涅茨自治区的几个社会孤立群体,并提出了他们孤立的可能原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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