Skip to main content
SpringerLink
Log in

Development of a Prognostic Model of the User’s Information Image Using Automated Tools for Processing Data from Social Networks

  • Conference paper
  • First Online:
Digital Transformation and Global Society (DTGS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1038))

Included in the following conference series:

Abstract

This article presents a first phase’s results of research project, dedicated to developing prognostic models of User’s Image with the automated Social Networks data processing methods. A pilot study carried out a comparative analysis of automatic methods for analyzing textual and visual data, which constituting a User’s informational image. We used a correlation analysis of data, which was obtained by using parsing methods and the results of psycho diagnostic research. As a result, multiple relationships with the socio-psychological characteristics of the respondents were identified. Based on obtained data, we have concluded about acceptable predictive capabilities of automated analysis.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Tripathi, A.K.: Personality Prediction with Social Behavior by Analyzing Social Media Data - A Survey. University of Winnipeg (2013)

    Google Scholar 

  2. Belinskaya, E.P., Martsinkovskaya, T.D.: Identichnost v tranzitivnom obshchestve: virtualnost i realnost. Tsifrovoye obshchestvo kak kulturno-istoricheskiy kontekst razvitiya cheloveka. Sbornik nauchnykh statey i materialov mezhdunarodnoy konferentsii. Pod obshchey redaktsiyey R.V. Ershovoy, pp. 43–48 (2018)

    Google Scholar 

  3. Gosling, S.D., Augustine, A.A., Vazire, S., Holtzman, N., Gaddis, S.: Manifestations of personality in online social networks: self-reported Facebook-related behaviors and observable profile information. Cyberpsychol. Behav. Soc. Netw. 14(9), 483–488 (2011). https://doi.org/10.1089/cyber.2010.0087

    Article  Google Scholar 

  4. Khodakovskaya, O.V., Bogdanovskaya, I.M., Koroleva, N.N., Alekhin, A.N., Lugovaya, V.F.: Problematic internet usage and the meaning-based regulation of activity among adolescents. In: Digital Transformation and Global Society 2018, pp. 227–238. DTGS 2018, St. Petersburg (2018). https://doi.org/10.1007/978-3-030-02846-6_18

    Google Scholar 

  5. Kosinski, M., Matz, S., Gosling, S., Popov, V., Stillwell, D.: Facebook as a social science research tool: opportunities, challenges, ethical considerations and practical guidelines. Am. Psychol. 70, 543–556 (2015). https://doi.org/10.1037/a0039210

    Article  Google Scholar 

  6. Lisenkova, A.A., Melnikova, A.U.: Social’nye seti kak faktor aktivnogo vliyaniya na formirovanie cennostej molodezhi. Rossijskij gumanitarnyj zhurnal 6, 322–329 (2017)

    Google Scholar 

  7. Matasova, O.I.: Opredelenie cennostej sovremennyh studentov putem kontent-analiza publikacij v social’nyh setyah. In: Priority Directions of Development of Education and Science. Collection of Materials of the III International Scientific and Practical Conference, pp. 248–251. Interakiv Plus, Cheboksary (2017). https://doi.org/10.21661/r-465530

  8. Peters, B.: How Not to Network a Nation: The Uneasy History of the Soviet Internet. The MIT Press, Cambridge (2016)

    Book  Google Scholar 

  9. Hirn, S., Joachim, T., Zoelch, C.: The role of empathy in the development of social competence: a study of German school leavers. Int. J. Adolesc. Youth, 1–13 (2018). https://doi.org/10.1080/02673843.2018.1548361

    Article  Google Scholar 

  10. Voiskounsky, A.E.: Internet addiction in the context of positive psychology. Psychol. Russia: State Art 3, 541–549 (2010)

    Google Scholar 

  11. Waterloo, S.F., Baumgartner, S.E., Peter, J., Valkenburg, P.M.: Norms of online expressions of emotion: comparing Facebook, Twitter, Instagram, and WhatsApp. New Media Soc. 20, 1813–1831 (2017). https://doi.org/10.1177/1461444817707349

    Article  Google Scholar 

  12. Xenos, S., Ryan, T.: Who uses Facebook? An investigation into the relationship between the big five, shyness, narcissism, loneliness, and Facebook usage. Comput. Hum. Behav. 27, 1658–1664 (2011). https://doi.org/10.1016/j.chb.2011.02.004

    Article  Google Scholar 

  13. Yee, N.: The Proteus Paradox: How Online Games and Virtual Worlds Change Us–And How They Don’t. Yale University Press (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. St. Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University), 199034, St. Petersburg, Russia

    Alexandr Tropnikov & Boris Nizomutdinov

  2. The Herzen State Pedagogical University of Russia, 191186, St. Petersburg, Russia

    Anna Uglova

Authors
  1. Alexandr Tropnikov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anna Uglova
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Boris Nizomutdinov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Alexandr Tropnikov , Anna Uglova or Boris Nizomutdinov .

Editor information

Editors and Affiliations

  1. National Research University Higher School of Economics, St. Petersburg, Russia

    Daniel A. Alexandrov

  2. ITMO University, St. Petersburg, Russia

    Alexander V. Boukhanovsky

  3. ITMO University, St. Petersburg, Russia

    Andrei V. Chugunov

  4. National Research University Higher School of Economics, St. Petersburg, Russia

    Yury Kabanov

  5. National Research University Higher School of Economics, St. Petersburg, Russia

    Olessia Koltsova

  6. National Research University Higher School of Economics, St. Petersburg, Russia

    Ilya Musabirov

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

Tropnikov, A., Uglova, A., Nizomutdinov, B. (2019). Development of a Prognostic Model of the User’s Information Image Using Automated Tools for Processing Data from Social Networks. In: Alexandrov, D., Boukhanovsky, A., Chugunov, A., Kabanov, Y., Koltsova, O., Musabirov, I. (eds) Digital Transformation and Global Society. DTGS 2019. Communications in Computer and Information Science, vol 1038. Springer, Cham. https://doi.org/10.1007/978-3-030-37858-5_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-37858-5_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37857-8

  • Online ISBN: 978-3-030-37858-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation