Educational migration from Russia to China

Alexandrov, Daniel; Karepin, Viktor; Musabirov, Ilya

doi:10.1145/2908131.2908192

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…VKontakte (VK) is the Russian equivalent of Facebook, and its data source potential has also begun to attract the attention of researchers. In particular, they find out how time spent on VK affects exam performance [Krasilnikov, Semenova 2014], analyze how friendship networks develop , show how VK data could be used to explore academic mobility [Alexandrov, Karepin, Musabirov 2016], etc.…”

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confidence: 99%

In Search of Lost Profiles: The Reliability of VKontakte Data and Its Importance for Educational Research

Smirnov¹,

Sivak²,

Kozmina³

2016

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The potential of VKontakte (VK), the Russian equivalent of Facebook, as a data source is now acknowledged in educational research, but little is known about the reliability of data obtained from this social network and about its sampling bias. Our article investigates the reliability of VK data, using the examples of a secondary school (766 students) and a university (15,757 students). We describe the procedure of matching VK profiles to real students.

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confidence: 99%

In Search of Lost Profiles: The Reliability of VKontakte Data and Its Importance for Educational Research

Smirnov¹,

Sivak²,

Kozmina³

2016

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Educational Migration from Russia to the Nordic Countries, China and the Middle East. Social Media Data

Alexandrov

Karepin

Musabirov

et al. 2018

Companion of the the Web Conference 2018 on the Web Conference 2018 - WWW '18

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Identifying gravity zones of higher school centers by digital traces of social media users

Chernyshev,

Mitiagina,

Petrov

2023

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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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Educational migration from Russia to China

Cited by 3 publications

References 6 publications

In Search of Lost Profiles: The Reliability of VKontakte Data and Its Importance for Educational Research

In Search of Lost Profiles: The Reliability of VKontakte Data and Its Importance for Educational Research

Educational Migration from Russia to the Nordic Countries, China and the Middle East. Social Media Data

Identifying gravity zones of higher school centers by digital traces of social media users

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