Sociomedia geospace of student cities in the North Caucasus
https://doi.org/10.37493/2308-4758.2025.3.3
Abstract
The article studies the relevance of social media in shaping the ideas of modern society about the world and developing the cities. The importance of cities in general and student cities in particular for the organization of space and the socio-economic well-being of the state is described. The review of literary sources in the field of imaginal geography, geographical research based on big data and obtained using modern technologies, and also describes the theoretical foundations associated with the study of student cities in Russia and abroad. The methodology of this study is described. A graph has been drawn up reflecting the main indicators of the student city and a model of the typology of student cities has been proposed. Key cities have been selected for a detailed geoinformation analysis of the sociomedia geospatial environment. A spatially distributed database of messages about key cities in social media has been created. In the future, it can be used for geoinformation support of marketing strategies for their development. Typical features of the territorial structure of the sociomedia geospatial of the student cities of the North Caucasus at the country, regional and municipal levels are revealed. Common features and differences of key cities have been identified in a number of indicators: the number of social media posts about the city, audience, engagement, CM Index, the share of publications outside the region, tonality, and others. It has been found that the student factor has too little influence on the representation of cities in social media, especially in the case of the city of Mineralnye Vody. A comparative analysis of sociomedia geospatial indicators for 2021 and 2025 has been carried out. The main factors that influenced the changes in the geospatial structure over the past four years have been identified.
About the Authors
E. I. Vinogradova
North-Caucasus Federal University
Russian Federation
Russian Federation
Ekaterina I. Vinogradova – 1st year Master degree student in Cartography and Geoinformatics, Department of Geography and Geoinformatics
1, Pushkin St., Stavropol, 355017
T. A. Tkacheva
North-Caucasus Federal University
Russian Federation
Russian Federation
Tatiana A. Tkacheva – Cand. Sci. (Geogr.), Associate Professor, Department of Geography and Geoinformatics
1, Pushkin St., Stavropol, 355017
I. P. Suprunchuk
North-Caucasus Federal University
Russian Federation
Russian Federation
Ilya P. Suprunchuk – Cand. Sci. (Geogr.), Associate Professor of the Department of Geography and Geoinformatics
1, Pushkin St., Stavropol, 355017
References
1. Zamyatin DN. Strategies for interpreting historical and geographical images of Russia. Domestic notes. 2002;(6):105- 198. (In Russ.).
2. Zamyatin DN. Humanitarian geography: Space and language of geographical images. St. Petersburg: Aleteya; 2003. 331 p. (In Russ.).
3. Kolosov VA. Geographical images and geopolitical representations: ways of formation and approaches to study. Bulletin of the Far Eastern State Social and Humanitarian Academy. 2008;(1):72-91. (In Russ.).
4. Zamyatina NY. Cognitive spatial combinations as a subject of geographical research. Izvestiya RAS. Ser. geogr. 2002;(5):32-37. (In Russ.).
5. Zamyatina NY. The use of images of places in teaching regional studies and urban studies. Humanitarian geography: A scientific, cultural and educational almanac. Issue 1. Moscow: Institute of Heritage; 2004. p. 311-327. (In Russ.).
6. Zamyatina NYu, Belash EYu. Features of geographical representation of socio-cultural regions of Russia in the characteristics of the subjects of the Russian Federation. SocIs. 2006;(9):63-71. (In Russ.).
7. Zamyatina NY, Yashunsky AD. Migration from the North: social networks and mental «proximity». Non-economic factors of spatial development. Moscow: Eslan; 2015. p. 147-173. (In Russ.).
8. Zamyatina NYu, Yashunsky AD. Virtual geography of the virtual population. Monitoring public opinion: Economic and social changes. 2018;(1): 117-137. DOI:10.14515/monitoring.2018.1.07 (In Russ.).
9. Vendina OI. Moscow is an image of a city that does not look like a portrait. Geography. 2000;(43):7-10. (In Russ.).
10. Chikhichin VV. Geographical analysis of images of cities in Stavropol Krai. Dissertation for the degree of Candidate of Geographical Sciences: specialty 25.00.24 «Economic, social and political geography». Stavropol; 2006. 149 p. (In Russ.).
11. Mitin II. Methodology of complex cultural and geographical characteristics of the territory. Dissertation for the degree of Candidate of Geographical Sciences: specialty 25.00.24 «Economic, social and political geography». Moscow; 2007. 221 p. (In Russ.).
12. Gribok MV. Analysis of the formation of images of Russian regions in federal television information programs using GIS. Dissertation for the degree of Candidate of Geographical Sciences: specialty 25.00.24 «Economic, social and political geography». Moscow; 2009. 146 p. (In Russ.).
13. Volkhin DA. Territorial structure and transformation of the image of Crimea (based on the study of the television media of Russia and Ukraine). Dissertation for the degree of Candidate of Geographical Sciences: specialty 25.00.24 «Economic, social and political geography». Simferopol; 2018. 125 p. (In Russ.).
14. Kellerman A. The Internet as Second Action Space. London and New York: Routledge; 2014. 192 p. DOI:10.4324/9781315765105
15. Kinsley S. The matter of «virtual» geographies». Progress in Human Geography. 2013;38(3):50-89. DOI:10.1177/0309132513506270
16. Gribok MV. On the possibility of using geolocation data from photographs in studies of the tourist attractiveness of roadside landscapes (on the example of the Chuisky tract). InterCarto/ InterGIS. Petrozavodsk: KarSC RAS; 2018. Vol. 24. Part 1. P. 588-595. DOI: 10.24057/2414-9179-2018-1-24-110-120. (In Russ.).
17. Gribok MV, Gorbunova TY. Google Trends service as a data source for the study of mental connections between the regions of Russia. Geopolitics and ecogeodynamics of regions. 2019;5(3):256-263. (In Russ.).
18. Tikunov VS, Belozerov VS, Panin AN, Antipov SO. Geoinformation monitoring of key queries of search engines, and geotagging photos in the North-Caucasian segment of the tourist route «Great Silk Road». Annals of GIS. 2018;(24):1-6. DOI:10.1080/19475683.2020.1743355
19. Tikunov VS, Belozerov VS, Antipov SO, Suprunchuk IP. Social media as a tool for analyzing the attendance of tourist sites (on the example of the Stavropol Territory). Bulletin of the Moscow University. Geography. 2018;5(3):89-95. (In Russ.).
20. Kudryashova EV, Sorokin SE. The «Third mission» of universities as a subject of scientific analysis. Bulletin of Vyatka State University. 2020;2 (136):17-23. (In Russ.).
21. Medushevsky NA. Interpretation of the third role of universities at the present stage. Bulletin of the Russian State University of Economics. Series: Political Science. History. International relations. Foreign regional studies. Oriental studies. 2016;(3):19-31. (In Russ.).
22. Ave G. University Cities: A Strategic Resource of Small and Medium-Sized Cities in Europe. Cities as Multiple Landscapes. Frankfurt, New York; 2016. p. 61-80.
23. Poelman H, Dijkstra L. Access to Universities in the EU: A Regional and Territorial Analysis. Regional Focus: Regional and Urban Policy. [Electronic resource]. URL://https://ec.euro-pa.eu/regional_policy/sources/docgener/focus/2018_12_access_universities.pdf (date of access: 6.11.2024).
24. Katrovsky AP. Territorial organization of higher education in Russia. Smolensk: The Ecumene; 2003. 198 p. (In Russ.).
25. Tkacheva TA. Territorial structure of the image of the North Caucasus in social media (on the example of the regions of the North Caucasus Federal District). Dissertation for the degree of Candidate of Geographical Sciences: specialty 1.6.13 «Economic, social and political geography». Stavropol; 2023. 195 p. (In Russ.).
Review
For citations:
Vinogradova E.I., Tkacheva T.A., Suprunchuk I.P. Sociomedia geospace of student cities in the North Caucasus. Science. Innovations. Technologies. 2025;(3):67-96. (In Russ.) https://doi.org/10.37493/2308-4758.2025.3.3
Views:
14
Email this article 