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Between Two Capitals: Population Migrations of Tver Oblast and Their Reflection on the Social Network Vkontakte

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Listed:
  • A. I. Alekseev

    (Lomonosov Moscow State University)

  • D. M. Vinogradov

    (Tver State University)

  • I. P. Smirnov

    (Tver State University)

  • A. A. Smirnova

    (Tver State University)

Abstract

The article is devoted to the use of social networks in studying population migration. A case study of Tver oblast demonstrates how the intercapital situation affects the features of population movement. There are no official statistics on this issue at the municipal district level, so the main source of information here was materials from the social network Vkontakte. At the first stage, we used aggregated materials of the site Russia’s Virtual Population; at the second stage, Vkontakte communities network following individual settlements were studied. The main centers of attraction for the Tver oblast population are Tver, Moscow, and St. Petersburg, and the capitals divide the region almost equally by their zones of influence. The northern districts gravitate towards St. Petersburg, and the southern, towards Moscow. The populations of the oblast’s cities, including Rzhev and Torzhok, gravitate towards Moscow, and the rural population, towards St. Petersburg. The conclusions obtained in this study update and supplement the results of past works on this topic.

Suggested Citation

  • A. I. Alekseev & D. M. Vinogradov & I. P. Smirnov & A. A. Smirnova, 2021. "Between Two Capitals: Population Migrations of Tver Oblast and Their Reflection on the Social Network Vkontakte," Regional Research of Russia, Springer, vol. 11(1), pages 71-79, January.
    • Handle: RePEc:spr:rrorus:v:11:y:2021:i:1:d:10.1134_s2079970521010020
    DOI: 10.1134/S2079970521010020
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    References listed on IDEAS

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    1. Bianca Biagi & Kathryn R. Dotzel, 2018. "Theoretical Advances on Interregional Migration Models," Advances in Spatial Science, in: Bianca Biagi & Alessandra Faggian & Isha Rajbhandari & Viktor A. Venhorst (ed.), New Frontiers in Interregional Migration Research, chapter 0, pages 21-47, Springer.
    2. Adam Dennett & Alan Wilson, 2013. "A Multilevel Spatial Interaction Modelling Framework for Estimating Interregional Migration in Europe," Environment and Planning A, , vol. 45(6), pages 1491-1507, June.
    3. Baruffaldi, Stefano H. & Di Maio, Giorgio & Landoni, Paolo, 2017. "Determinants of PhD holders’ use of social networking sites: An analysis based on LinkedIn," Research Policy, Elsevier, vol. 46(4), pages 740-750.
    4. Lee Komito, 2011. "Social media and migration: Virtual community 2.0," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(6), pages 1075-1086, June.
    5. Lee Komito, 2011. "Social media and migration: Virtual community 2.0," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(6), pages 1075-1086, June.
    6. Bianca Biagi & Alessandra Faggian & Isha Rajbhandari & Viktor A. Venhorst (ed.), 2018. "New Frontiers in Interregional Migration Research," Advances in Spatial Science, Springer, number 978-3-319-75886-2.
    7. David Karemera & Victor Iwuagwu Oguledo & Bobby Davis, 2000. "A gravity model analysis of international migration to North America," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1745-1755.
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    Cited by:

    1. L. B. Karachurina & N. V. Mkrtchyan & M. S. Savoskul, 2022. "New Data on Population Migration in Russia: a Challenge for Researchers?," Regional Research of Russia, Springer, vol. 12(1), pages 51-66, March.
    2. A. D. Yashunsky, 2021. "On the Social Permeability of the Borders of Municipal Units," Regional Research of Russia, Springer, vol. 11(3), pages 327-335, July.

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