Skip to main content

Online Social Networks Analysis for Digitalization Evaluation

  • Conference paper
  • First Online:
Software Engineering Methods in Intelligent Algorithms (CSOC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 984))

Included in the following conference series:

Abstract

The majority of countries is committed to developing the digital economy. The article discusses the potential use of online social networks to assess the level of digitalization. A brief overview of international indices used for evaluating digitalization, as well as Russian studies of regional digitalization are provided. In particular, using the developed software, the number of users in different cities and regions of one of the most popular online social networks in the post-Soviet space VKontakte is analyzed. The obtained results are compared with official statistics on the number of residents in regions and settlements. The problems that a researcher faces when using social networks as a source of statistical data are discussed. Conclusions are drawn about the possibility of applying data obtained from the analysis of online social networks as components of the indices when evaluating digitalization.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Strelkova, I.A.: Digital economy: new opportunities and threats for the development of the world economy. Econ. Taxes. Law 2, 18–26 (2018)

    Article  Google Scholar 

  2. Panshin, B.: Digital economy: features and development trends. Sci. Innovations. 157, 17–20 (2016)

    Google Scholar 

  3. Kapranova, L.D.: Digital economy in Russia: state and development prospects. Econ. Taxes Law 2, 58–69 (2018)

    Article  Google Scholar 

  4. The economic contribution of broadband, digitization and ICT regulation. https://www.itu.int/en/ITU-D/Regulatory-Market/Documents/FINAL_1d_18-00513_Broadband-and-Digital-Transformation-E.pdf. Accessed 30 Jan 2019

  5. Oleynik, A., Fridman, A., Masloboev, A.: Informational and analytical support of the network of intelligent situational centers in Russian Arctic. In: Proceedings of the International Research Workshop on Information Technologies and Mathematical Modeling for Efficient Development of Arctic Zone (IT&MathAZ 2018), Yekaterinburg, Russia, 19–21 April 2018, vol. 2109, pp. 57–64. CEUR Workshop Proceedings (2018)

    Google Scholar 

  6. Oleynik, A., Lomov, P., Shemyakin, A., Avdeev, A.: Solutions for system analysis and information support of the various activities in the arctic. Czech Polar Rep. 2(7), 280–289 (2017)

    Article  Google Scholar 

  7. Russian Federation Federal State Statistics Service. http://www.gks.ru/wps/wcm/connect/rosstat_main/rosstat/en/main. Accessed 30 Jan 2019

  8. Measuring the Information Society Report, 2017 (ITU). https://www.itu.int/en/ITU-D/Statistics/Documents/publications/misr2017/MISR2017_Volume1.pdf. Accessed 20 Dec 2018

  9. Measuring the Information Society Report, 2018 (ITU). https://www.itu.int/en/ITU-D/Statistics/Documents/publications/misr2018/MISR-2018-Vol-1-E.pdf. Accessed 20 Dec 2018

  10. Katz, R., Koutroumpis, P., Callorda, F.: Using a digitization index to measure the economic and social impact of digital agendas. Info. 16(1), 32–44 (2014). https://doi.org/10.1108/info-10-2013-0051

    Article  Google Scholar 

  11. Global Information Technology Report 2016. World economic forum. http://reports.weforum.org/global-information-technology-report-2016. Accessed 20 Dec 2018

  12. Foley, P., Co.: International Digital Economy and Society Index. https://doi.org/10.2759/745483. https://www.ospi.es/export/sites/ospi/documents/documentos/Study_International_DESI_2018.pdf. Accessed 20 Dec 2018

  13. Banke, B., Butenko, V.: Russia online? Catch up can not be left behind. June 2016. The Boston Consulting Group. (in Russian). http://image-src.bcg.com/Images/BCG-Russia-Online_tcm27-152058.pdf. Accessed 20 Dec 2018

  14. United Nations E-Government Survey 2016: E-Government In Support Of Sustainable Development. United Nations (2016)

    Google Scholar 

  15. Goloventchik, G.G.: Rating analysis of the level of digital transformation of the economies of EAEU and EU the countries. Digit. Transform. 2(3), 5–18 (2018)

    Google Scholar 

  16. Tap Into New Growth With Intelligent Connectivity: Mapping your transformation into a digital economy with GCI, Oxford Economics, Huawei (2018). http://www.huawei.com/minisite/gci/assets/files/gci_2018_whitepaper_en.pdf?v=20180605. Accessed 20 Dec 2018

  17. The Global Innovation Index 2018: Energizing the World with Innovation. Dutta, S., Gurry, F., Lanvin, B. (eds.) Cornell University, Geneva, INSEAD, WIPO (2018)

    Google Scholar 

  18. IMD World Digital Competitiveness Ranking: 2018 IMD World Competitiveness Center (2018)

    Google Scholar 

  19. Digital Society Index: 2018. Full Report. Oxford Economics. https://www.oxfordeconomics.com/recent-releases/the-digital-society-index-2018. Accessed 20 Dec 2018

  20. Digital life of Russian megapolises 2016. (in Russian). https://iems.skolkovo.ru/downloads/documents/SKOLKOVO_IEMS/Research_Reports/SKOLKOVO_IEMS_Research_2016-11-30_ru.pdf. Accessed 20 Dec 2018

  21. Design: The Digital Russia Index. https://finance.skolkovo.ru/ru/sfice/research-reports/1779-2018-10-001-ru

  22. Digital Literacy Index, 2017 (ROCIT). (in Russian). http://xn–80aaefw2ahcfbneslds6a8jyb.xn–p1ai/media/Digital_Literacy_Index_2017.pdf. Accessed 19 Dec 2018

  23. Datyev, I.O., Fedorov, A.M.: Information monitoring of community’s territoriality based on online social network. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds.) Computational and Statistical Methods in Intelligent Systems, CoMeSySo 2018. Advances in Intelligent Systems and Computing, vol. 859. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-00211-4_10

    Google Scholar 

  24. Zamyatina, N.Yu., Yashunsky, A.D.: Virtual geography of virtual population. Monitoring of Public Opinion: Economic and Social Changes. 1, 117–137 (2018). https://doi.org/10.14515/monitoring.2018.1.07

    Article  Google Scholar 

  25. Smirnov, I., Sivak, E., Kozmina, Y.: In search of lost profiles: the reliability of VKontakte data and its importance in educational research. Educ. Stud. 4, 106–122 (2016)

    Google Scholar 

  26. Federal Law “On Personal Data” No. 152-FZ. https://pd.rkn.gov.ru/authority/p146/p164. Accessed 21 Dec 2018

  27. EU Regulation 2016/679 of April 27, 2016, GDPR. https://ec.europa.eu/info/law/law-topic/data-protection_en. Accessed 21 Dec 2018

  28. VTsIOM: About Half of Russians Use Social Networks Almost Every Day. https://tass.ru/obschestvo/4950095. Accessed 15 Jan 2019

  29. Can, U., Alatas, B.: Big Social Network Data and Sustainable Economic Development. Sustainability 9 (2017). https://doi.org/10.3390/su9112027

    Article  Google Scholar 

Download references

Acknowledgements

The research described in this paper is partially supported by state research of the Ministry of Education of the Russian Federation № 0226-2019-0036 and by the Russian Foundation for Basic Research for the support (project №18-29-03022).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Igor O. Datyev .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Fedorov, A.M., Datyev, I.O., Shchur, A.L., Oleynik, A.G. (2019). Online Social Networks Analysis for Digitalization Evaluation. In: Silhavy, R. (eds) Software Engineering Methods in Intelligent Algorithms. CSOC 2019. Advances in Intelligent Systems and Computing, vol 984. Springer, Cham. https://doi.org/10.1007/978-3-030-19807-7_38

Download citation

Publish with us

Policies and ethics