The university activity socio-economic analysis based on data from social networks
Abstract
In the present work, the activity of the university is analyzed on the basis of unique data of 7000 students from the University of Dubna obtained from the social network VKontakte. For semi-automatic data extraction, special software was developed. The structure and temporal dynamics of a number of indicators are studied such as: demographics of students; geography of the arrival of students, including GIS analysis(visualization); distribution in the areas of study. In conclusion, the prospects for the methodology development are discussed.
About the Authors
Yulia Shitova
Russian State University for the Humanities
Russian Federation
Russian Federation
Yury Shitov
“Dubna” State University
Russian Federation
Russian Federation
Maksim Kokorev
“Dubna” State University
Russian Federation
Russian Federation
References
1. Kietzmann Jan H., Hermkens K., McCarthy Ian P., Silvestre Bruno S. Social media? Get serious! Understanding the functional building blocks of social media [Электронный ресурс] // Business Horizons. 2011. № 54. P. 241-251. URL: http://www.sciencedirect.com/science/article/pii/S0007681311000061?via%3Dihub (дата обращения: 23.08.2017).
2. Ganea M., Constantin A., Comşa Aurel D. Quick Overview of the Social Media // Revista Română de Statistică Trim. III/2012 Supliment. P. 113-115.
3. Kaplan Andreas M., Haenlein M. Users of the world, unite! The challenges and opportunities of Social Media // Business Horizons. 2010. № 53. P. 59-68.
4. Weinberg Bruce D., Pehlivan E. Social spending: Managing the social media mix // Business Horizons. 2011. № 54. P. 275-282.
5. Buzilă N. Promoting through the internet with social-media networking [Электронный ресурс] // Annals. Economic Science Series. 2012. Vol. 18. P. 658-663. URL: http://fse.tibiscus.ro/images/anale/lucrari/Lucrari2012/kssue2012_105.pdf (дата обращения: 23.08.2017).
6. Rohayah K., Faizal Y., Ghazali B., Hadina H. Trusting the Social Media in Small Business // Procedia: Social and Behavioral Sciences. 2012. Vol. 66. P. 564-570.
7. İrem Eren Erdoğmuş, Mesut Çiçek, The Impact of Social Media Marketing on Brand Loyalty // Procedia - Social and Behavioral Sciences. 2012. Vol. 58. P. 1353-1360.
8. Sorin S., Dalia P. Social Media and Political Unrest, Comşa // Annals. Economic Science Series. 2012. Vol. 18. P. 847-850.
9. Cameron Michael P., Barrett P., Stewardson B. Can Social Media Predict Election Results? Evidence From New Zealand // Journal of Political Marketing. 2016. № 15. P. 416-432.
10. Sounman H. Online news on Twitter: Newspapers’ Social Media Adoption and their Online Readership // Information Economics and Policy. 2012. № 24. P. 69-74.
11. Situngkir H. Spread of Hoax in Social Media. BFI Working Paper No. WP-4-2011 [Электронный ресурс] // SSRN. URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1831202 (дата обращения: 23.08.2017).
12. Drula G. Social and online media research - data, metrics and methods // Review of Applied Socio-Economic Research. 2012. № 3. P. 77-86.
13. Сервис API Яндекс.Карт [Электронный ресурс]. URL: https://tech.yandex.ru/maps/ (дата обращения: 23.08.2017).
Review
For citations:
Shitova Yu., Shitov Yu., Kokorev M. The university activity socio-economic analysis based on data from social networks. RSUH/RGGU BULLETIN. Series Economics. Management. Law. 2017;(3):50-60. (In Russ.)
Views:
549
Email this article 