通过社交媒体用户的数字痕迹识别高等学校中心的重力区

IF 1.5 4区 社会学 Q2 DEMOGRAPHY Population Pub Date : 2023-12-15 DOI:10.19181/population.2023.26.4.7
Konstantin Chernyshev, Ekaterina Mitiagina, E. Petrov
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引用次数: 0

摘要

在信息社会中,社交媒体数据以及官方统计数据和社会学调查正成为人口迁移的重要信息来源。文章分析了利用 "VKontakte "用户资料研究国内教育移民的可能性和经验。研究的主要目的是确定吸引跨地区教育移民的主要高等教育中心。使用的主要研究方法是分析社交网络用户的数字痕迹。结果确定了 23 个城市的影响区,这些城市是俄罗斯联邦的主要高等教育中心。这些城市符合以下标准之一:拥有一所 "联邦 "大学或根据 2022 年 QS 世界大学排名进入俄罗斯前 10 名,城市人口超过 100 万。每个地区的社交网络用户数量比例是这样计算的:重心地区的学生、所有或仅 "他们 "的主要高等教育中心的学生。在现代俄罗斯形成高等教育区域时,领土的邻近性并不是决定性因素。教育流的形成受多种因素的综合影响:大学的声誉、所受教育的质量、建议的培训领域、教育成本低、大城市的存在、社会经济条件等。结论是,利用 "VKontakte "社交网络的数据来研究教育移民,可以在这些过程的研究中取得重大进展。
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Identifying gravity zones of higher school centers by digital traces of social media users
In the information society, social media data, along with official statistics and sociological surveys, are becoming an important source of information about population migration. The article analyzes the possibilities and experience of using «VKontakte» user profiles for studying internal educational migration. The main purpose of the study is to identify the leading higher school centers that attract interregional educational migrants. The principal research method used is analysis of digital traces of social network users. As a result, there have been identified the influence zones of 23 cities being the leading higher education centers in the Russian Federation. Among them are the cities that meet one of the following criteria: having a university with the «Federal» status or being included in the top 10 in Russia according to the QS World University Rankings 2022, population of the city— over 1 million people. The ratio of the number of the social network users is calculated for each zone: students in regions of the gravity center, students in all or only in «their» leading center of higher education. Territorial proximity has turned out not to be a determining factor when forming higher education areas in modern Russia. Formation of educational flows is influenced by a combination of factors: prestige of university, quality of education received, proposed areas of training, low cost of education, presence of a big city, socio-economic conditions, and others. It is concluded that the use of data from the «VKontakte» social network for the study of educational migration makes it possible to make a significant progress in studying these processes.
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来源期刊
Population
Population DEMOGRAPHY-
CiteScore
2.00
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0.00%
发文量
10
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