Objective. The research was aimed at examining the possibilities of applying social network analysis to the study of ethnocultural identity of Russian adolescents.
Design. By creating a code in the language R (R 3.6.1 + R Studio 1.2.1335), the analysis of the relations of a number of communities of the social network «Vkontakte», whose content is relevant to various aspects of ethnocultural (ethnic, cultural, religious, regional, national) identity was performed. In these communities Moscow and St. Petersburg dwellers aged 14 to 18 years were identified and sampled (78,784 Moscow-based users and 210,815 St. Petersburg-based users). Based on the results, social graphs were constructed and the analysis of relations between communities in the two cities of Russia was carried out.
Results. The general tendencies and differences between the links of online communities, the content of which is relevant to various aspects of ethnocultural identity in the cities of Russia under consideration, are revealed. For the target category, Moscow-based and St. Petersburg-based user-adolescents, the online communities were considered to be most relevant between those with ethnic content. The differences relate to connexions between large community called «Russia» and other studied online communities. There is no connexion between all other communities from Moscow with community «Russia» while adolescents-users from St. Petersburg actively participate in the community «Russia», especially those who are in communities whose content is devoted to ethnic and cultural issues.
Conclusion. The results show the existing outlooks for the social networks analysis, which allows to cover a wide range of users of online communities, for the study of ethnocultural identity of adolescents in the digital society. Obtained by analyzing social networking data derived from user activity in Internet communities, reflect the regularities, identified through an earlier social-psychological study involving adolescents who live in the same area. The socio-cultural context mediates online identity and offline identity in a similar way, which is confirmed by the revealed differences in the connections of online communities in different subjects of the Russian Federation. Despite the long-term social network analysis in sociology and other sciences, psychology is using this method as exploratory tool. In relation to the study of ethnocultural identity and related phenomena SNA requires additional development based on the interdisciplinary interaction of various sciences and areas and the necessary comparison of the results with the results obtained by other methods.
PDF: Download
Keywords: social network analysis (SNA); social graphs; adolescents; ethnocultural identity; regions of Russian Federation; social mining;
Available Online 20.10.2019
The research was supported by the Russian Science Foundation (project No 15-18-00109).
Fig 1. Relations between communities of the VKontakte network in Moscow (relative)
Fig 2. Relations between communities of the VKontakte network in St.-Petersburg (relative)
Table 1. Samples by thematic component
Main content of communities (aspect of ethnocultural identity) |
Community |
Regional |
My Moscow, My Moscow. I love my city St. Petersburg is my city! | Piter | SPB |
Religious |
Islam, I love Islam I'm a Christian, I believe † Orthodoxy |
Cultural |
Moscow: History of Moscow, Saint Petersburg | History of Pieter |
Ethnical |
I’M RUSSIAN I AM RUSSIAN |
Civilian |
RUSSIA |
Table 2. Community activity in Moscow and St. Petersburg based on the recent 300 posts
Community |
Activity Indicators |
||||
Community size (total), prns |
Community size (adolescents), prns |
Posts per day, N |
Likes Median, N |
Comments Median, N |
|
My Moscow |
214612 |
4865 |
0.29 |
117 |
1 |
My Moscow. I love my city |
268156 |
22802 |
0.43 |
2 |
0 |
St. Petersburg is my city! |
575554 |
13107 |
0.07 |
1019 |
8 |
Islam |
438618 |
33747 |
2.78 |
321.5 |
3.5 |
I’m Christian |
29898 |
2469 |
0.1 |
332 |
0 |
I love Islam |
519514 |
28840 |
1.47 |
460.5 |
0 |
I believe + Orthodoxy |
1782079 |
51426 |
14.29 |
1792.5 |
0 |
Moscow: History of Moscow |
84902 |
3903 |
0.52 |
88 |
1 |
Saint Petersburg | History of Piter |
113660 |
4877 |
0,52 |
91.5 |
3 |
I’M RUSSIAN |
282367 |
11608 |
10 |
104 |
1 |
I AM RUSSIAN |
84264 |
868 |
0,68 |
46.5 |
2.5 |
RUSSIA |
761065 |
284889 |
5,26 |
1595.5 |
31 |
Alhajj R., & Rokne J. (Eds.) (2018). Encyclopedia of Social Network Analysis and Mining. Second Edition. New York: Springer. doi: 10.1007/978-1-4939-7131-2
Barbier, Geoffrey & Liu, Huan. (2011). Data Mining in Social Media. doi: 10.1007/978-1-4419-8462-3_12.
Barak, A., & Suler, J. (2012). Reflections on the psychology and social science of cyberspace In A. Barak (Ed.) Psychological aspects of cyberspace. Theory, research, applications. Cambridge, UK: Cambridge University Press, 1–12. doi: 10.1017/CBO9780511813740.002
Barassi, V. (2017). Digital citizens? Data traces and family life. Contemporary Social Science, 12(1–2), 84–95. doi: 10.1080/21582041.2017.1338353
Bennett, C., Ryall, J., Spalteholz, L., Gooch, A. (2007). The aesthetics of graph visualization. In S. N. Spencer (Ed.), Proceedings of computational aesthetics in graphics, visualization, and imaging. New York, NY: Association for Computing Machinery, 57–64.
Bhui, K., & Ibrahim, Y. (2013). Marketing the “radical”: Symbolic communication and persuasive technologies in jihadist websites. Transcultural Psychiatry, 50(2), 216–234. doi: 10.1177/1363461513479329
Bouvier G. (2012). How Facebook users select identity categories for self-presentation. Journal of Multicultural Discourses, 7(1), 37–57. doi: 10.1080/17447143.2011.652781
Bouvier, G. (2015). What is a discourse approach to Twitter, Facebook, YouTube and other social media: connecting with other academic fields? Journal of Multicultural Discourses, 10(2), 149–162. doi: 10.1080/17447143.2015.1042381
Butts, C.T. (2008). Social network analysis: A methodological introduction. Asian Journal of Socail Psychology, 11, 13–41. doi: 10.1111/j.1467-839X.2007.00241.x
Butts, C.T., & Pixley, J.E. (2004). A structural approach to the representation of life history data. Journal of Mathematical Sociology, 28(2), 81–124. doi: 10.1080/00222500490448208
Can, U., & Alatas, B. (2019). A new direction in social network analysis: Online social network analysis problems and applications. Physica A: Statistical Mechanics and its Applications, 535, 122372. doi: 10.1016/j.physa.2019.122372.
Cheung, M.W.-L., & Jak S. (2016). Analyzing Big Data in Psychology: A Split/Analyze/Meta-Analyze Approach. Frontiers in Psychology, 8, 738. doi: 10.3389/fpsyg.2016.00738
Dubrovina I.V. (2018). Psychological issues of education of kindergarten children and school children in the information society. National Psychological Journal, 11(1), 6-16. doi: 10.11621/npj.2018.0101
Emelin V.A. (2018). Cyberculture and network libertarianism. National Psychological Journal, 11(3), 3-11. doi: 10.11621/npj.2018.0301
Freeman, L.C. The Development of Social Network Analysis. Vancouver: Empirical Press, 2004.
Goriunova, O. (2019). The Digital Subject: People as Data as Persons. Theory, Culture & Society. DOI: 10.1177/0263276419840409
Hogan, M., & Strasburger, V.C. (2018). Social Media and New Technology: A Primer. Clinical Pediatrics, 57(10), 1204–1215. doi: 10.1177/0009922818769424
Jackson, L.A., & Wang, J.-L. (2013). Cultural differences in social networking site use: A comparative study of China and the United States. Computers in Human Behavior, 29, 910–921. doi: 10.1016/j.chb.2012.11.024
Jacomy, M., Venturini, T., & Heymann, S., Bastian, M. (2014). ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software. PLoS One, 9, e98679. doi: 10.1371/journal.pone.0098679
Karpov D.V. (2017). The Theory of Earls. St. Petersburg, Retrieved from: https://logic.pdmi.ras.ru/~dvk/graphs_dk.pdf. (accessed: 02.09.2019).
Kim, J., Lee, J.-E.R. (2011). The Facebook paths to happiness: Effects of the number of Facebook friends and self-presentation on subjective well-being. Cyberpsychology, Behavior, and Social Networking, 14, 359–364. doi: 10.1089/cyber.2010.0374
Kirmayer, L.J., Raikhel, E., & Rahimi, S. (2013). Cultures of the Internet: Identity, community and mental health. Transcultural Psychiatry, 50(2), 165–191. doi: 10.1177/1363461513490626
Kolesnikov V.N., Melnik Yu.I., & Teplova L.I. (2019). Internet activity and problem use of the Internet in youth. National Psychological Journal, 33(1), 34–46. doi: 10.11621/npj.2019.0104
Kurnosova, E. (2019). Social networks in numbers. Retrieved from https://mediascope.net/upload/iblock/f97/18.04.2019_Mediascope_Екатерина%20Курносова_РИФ+КИБ%202019.pdf. (accessed: 02.09.2019).
Lee, G., Lee, J., & Kwon, S. (2011). Use of social-networking sites and subjective well-being: A study in South Korea. Cyberpsychology, Behavior and Social Networking, 14, 151–155. doi: 10.1089/cyber.2009.0382
Makri, K., & Schlegelmilch, B.B. (2017). Time orientation and engagement with social networking sites: A cross-cultural study in Austria, China and Uruguay. Journal of Business Research, 80, 155–163. doi: 10.1016/j.jbusres.2017.05.016
McGrath, C., Blythe, J., & Krackhardt, D. (2014). Visualizing multiple levels and dimensions of social network properties. In: W. Huang (Ed.), Handbook of human centric visualization. New York, NY: Springer, 513–525. doi: 10.1007/978-1-4614-7485-2_20
Mcguire H.A., Markus M.J., Kionga-Kamau P.M., & Smith B.N. (2013). Social network analysis. Google Patents.
Molchanov S.V., Almazova O.V., & Poskrebisheva N.N. (2018). Cognitive methods of processing social information on the Internet in adolescence. National Psychological Journal, 11(3), 57–68. doi: 10.11621/npj.2018.0306
Montgomery, K.C., Chester, J., & Milosevic, T. (2017). Children’s privacy in the big data era: Research opportunities. Pediatrics, 140(2), 117–121. doi: 10.1542/peds.2016-17580
Most Popular Social Networks Worldwide as of 2019, ranked by number of active users (in millions). Retrieved from: https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users. (accessed: 02.09.2019).
Nestik, T.A. (2017). Development of digital technologies and the future of psychology (in Russian). [Vestnik Moskovskogo Regional’nogo gosudarstvennogo universiteta]. Series "Psychological science, 3, 6–15. doi: 10.18384/2310-7235-2017-3-6-15
Park Y.J., Chung J.E., & Shin D.H. (2018). The Structuration of Digital Ecosystem, Privacy, and Big Data Intelligence. American Behavioral Scientists, 62(10), 1319–1337. doi: 10.1177/0002764218787863
Sampasa-Kanyinga, H., & Lewis, R.F. (2015). Frequent use of social networking sites is associated with poor psychological functioning among children and adolescents. Cyberpsychology, Behavior, and Social Networking, 18, 380–385. doi: 10.1089/cyber.2015.0055
Schneider F., Feldmann A., Krishnamurthy B., & Willinger W. (2009). Understanding online social network usage from a network perspective. Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement. Chicago, Illinois, USA. doi: 10.1145/1644893.1644899
Shilko, R., Shaigerova, L., Dolgikh, A., Vakhantseva, O., Almazova, O., Zinchenko Yu. (2019). Connection between the amount of time spent by Russian teenagers on the Internet and their psychological well-being. European Psychiatry, 56(S1), 208–208.
Sobkin V.S., & Fedotova A.V. (2018). Adolescent in social networks: on the issue of social psychological well-being. National Psychological Journal, 11(3), 23–30. doi: 10.11621/npj.2018.0303
Soldatova G.U. (2017). Digital generation, or the Main humanitarian challenge for adults in the 21st century. [Akademicheskiy vestnik. Nauchno-prakticheskiy zhurnal Akademii sotsial'nogo upravleniya], 3(25), 3–6.
Soldatova G.U., & Olkina O. (2016). 100 friends. Circle of communication of teenagers in social networks. [Deti v informatsionom obschestve], 24, 24–33.
Soldatova G.U., & Teslavskaya O.I. (2018). Interpersonal relations of Russian adolescents in social networks. National Psychological Journal, 11(3), 12–22. doi: 10.11621/npj.2018.0302
Starkey, L., Eppel, E.A., & Sylvester, A. (2018). How do 10-yearold New Zealanders participate in a digital world? Information, Communication & Society. doi:10.1080/1369118X.2018.1472795
Tang L., & Liu H. (2010). Graph mining applications to social network analysis. Managing and Mining Graph Data. Advances in Database Systems, 40. doi: 10.1007/978-1-4419-6045-0_16.
The Top 20 Valuable Facebook Statistics – Updated 2019. Retrieved from: https://zephoria.com/top-15-valuable-facebook-statistics. (accessed: 02.09.2019).
Valkenburg, P.M., Peter, J. (2008). Adolescents’ identity experiments on the internet: Consequences for social competence and self-concept unity. Communication Research, 35(2), 208–231. doi: 10 1177/0093650207313164
van der Merwe, P. (2017). Adolescent identities in the cyberworld. Journal of Psychology in Africa, 27(2), 203–207. doi: 10.1080/14330237.2017.1303129
van Kokswijk, J. (2008). Granting personality to a virtual identity. International Journal of Humanities and Social Science, 2(4), 207–215.
Vanman, E.J., Baker, R., Tobin, S.J. (2018). The burden of online friends: the effects of giving up Facebook on stress and well-being. The Journal of Social Psychology, 158(4), 496–507. doi: 10.1080/00224545.2018.1453467
Yousefi Nooraie, R., E.M. Sale, J., Marin, A., Ross, L.E. (2018). Social Network Analysis: An Example of Fusion Between Quantitative and Qualitative Methods. Journal of Mixed Methods Research. doi: 10.1177/1558689818804060.
Zinchenko Yu.P. (Ed.) (2017). Russian identity. Psychological well-being. Social stability. Monograph. Moscow, Izdatel’stvo Moskovskogo Universiteta. 520.
Zinchenko Y.P., Shaigerova L.A., & Shilko R.S. Methodological problems of studying the ethno-cultural identity of children and teenagers in the digital society (In press).
Zinchenko Yu.P., Shaigerova L.A., Shilko R.S., Dolgikh A.G., & Vakhantseva O.V. (2018). Study of the identity of adolescents brought up in a modern Russian family: the possibility of in-depth analysis of data (data mining). In Eds. O.A. Karabanova, & N.N. Vasyagina, [Psikhologicheskie problemy sovremennoy sem'i: sbornik materialov VIII Mezhdunarodnoy nauchno-prakticheskoy konferentsii 3-6 oktyabrya 2018 goda]. Yekaterinburg: Ural’skiy gosudarstvennyy pedagogicheskiy universitet, 14–25.Shaigerova L.A., Shilko R.S., Vakhantseva O.V., Zinchenko Yu.P. (2019). Outlook of using social network analysis to study ethnocultural identity in adolescents in online communities. National Psychological Journal, [Natsional’nyy psikhologicheskiy zhurnal], (12) 3, 4–16.