Dominant types and strategies of discontent network management in the regions of the Russian Federation: experience of social graph analysis

EDN: AGPXZO DOI: 10.22394/2071-2367-2022-17-4-15-30

Authors

  • Brodovskaya E. V. Financial University under the Government of the Russian Federation
  • Dombrovskaya A. Yu. Department of Political Science
  • Lukushin V. A. Financial University under the Gov-ernment of the Russian Federation

Keywords:

social media, internet communication, discontent networks, digital network management strategies, social graph, social connection structure, user activity, cluster analysis

Abstract

The purpose of the article is to determine the dominant management strategies of regional digital communities that promote local contexts of social discontent and have the most dense connections between participants, as well as intensive user activity around these contexts.

The presented methodology also makes it possible to identify online groups with a high potential for social mobilization. The possibilities of combining cluster analysis of regions by a set of socio-economic indicators and analysis of the structure of social interactions in the digital space, the density of connections within online communities reflecting regional contexts of social discontent are shown.

The paper presents the results of the analysis and generalization of the dominant strategies for managing relevant discontent networks, the revealed relationships between the structural characteristics of digital communities and the mobilization potential of networks.

Author Biographies

Brodovskaya E. V., Financial University under the Government of the Russian Federation

Doctor of Political Sciences

Chief Researcher of the Center for Political Studies

Author ID (РИНЦ): 280399

Dombrovskaya A. Yu., Department of Political Science

Doctor of Sociology, Financial University under the Government of the Russian Federation, Chief Researcher of the Center for Political Studies, Professor

Author ID (РИНЦ): 768923

Lukushin V. A., Financial University under the Gov-ernment of the Russian Federation

Research Assistant of the Center for Political Studies

Author ID (РИНЦ): 1098777

References

Биккулов А.С., Чугунов А.В. Сетевой подход в социальной инфор-матике: моделирование социально-экономических процессов и ис-следования в социальных сетях: учебное пособие. – СПб.: НИУ ИТМО, 2013. – 124 с.

Бродовская Е.В., Домбровская А.Ю. Большие данные в исследо-ваниях политических процессов. – М.: Московский педагогический государственный университет, 2018. – 88 с.

Лебон Г. Психология народов и масс. – М.: Академический про-ект, 2011. – 238 с.

Соколов А.В. Динамика протестной активности в субъектах Рос-сийской Федерации // Известия Алтайского государственного уни-верситета. – 2013. – № 4-1 (80). – С. 262-267.

Соколов А.В. Протест в субъектах Российской Федерации: подхо-ды к классификации регионов страны // Известия Иркутского госу-дарственного университета. Серия: Политология. Религиоведение. – 2012. – № 1. – С. 52-60.

Соколов А.В. Протест в субъектах Российской Федерации: формы и тематика активности // Вестник Томского государственного уни-верситета. Философия. Социология. Политология. – 2012. – №3(19). –

С. 143-151.

Токвиль А. Старый порядок и революция. – Санкт-Петербург: Алетейя, 2008. – 248 с.

Blumer, H. (1971) Social Problems as Collective Behavior // Social Problems. № 3. – P. 298-306.

Castells, M. Communication Power. Oxford: Oxford University Press, 2009. 624 p.

Howard, P.N., Parks, M.R. (2012) Social Media and Political Change: Capacity, Constraint and Consequence // Journal of Communication. – № 62. – P. 359-362.

Smelser, N. Theory of Collective Behavior. New York: Free Press, 1965. 456 p.

Tarrow, S. Power in Movement: Social Movements and Contentious Politics. Cambridge: Cambridge University Press, 1998. – 271 p.

Turner, R.H., Killian, L.M. Collective Behavior. Englewood Cliffs: Pren-tice Hall, 1957. – 353 p.

Bikkulov, A.S., CHugunov, A.V. (2013) Setevoj podhod v social'noj infor-matike: modelirovanie social'no-ekonomicheskih processov i issledovaniya v social'nyh setyah: uchebnoe posobie [Network approach in social informatics: modeling of so-cio-economic processes and research in social networks: textbook]. – SPb: NIU ITMO [St. Petersburg: NRU ITMO],– 124 p. (In Russ.)

Brodovskaya, E.V., Dombrovskaya, A.YU. (2018). Bol'shie dannye v is-sledovaniyah politicheskih processov [Big data in research of political pro-cesses]. – Moskva: Moskovskij pedagogicheskij gosudarstvennyj universi-tet [Moscow: Moscow Pedagogical State University],– 88 p. (In Russ.)

Lebon, G. (2011) Psihologiya narodov i mass [Psychology of peoples and masses]. – M.: Akademicheskij proekt [Moscow: Academic Project]. – 238 p. (In Russ.)

Sokolov, A.V. (2013) Dinamika protestnoj aktivnosti v sub"ektah Rossijskoj Federacii [Dynamics of protest activity in the subjects of the Russian Federation] // Izvestiya Altajskogo gosudarstvennogo universi-teta [Izvestiya Altai State University]. – № 4-1 (80). – P. 262-267. (In Russ.)

Sokolov, A.V. (2012) Protest v sub"ektah Rossijskoj Federacii: pod-hody k klassifikacii regionov strany [Protest in the subjects of the Russian Federation: approaches to the classification of the country's regions] // Izvestiya Irkutskogo gosudarstvennogo universiteta. Seriya: Politologiya. Religiovedenie [News of Irkutsk State University. Series: Political Science. Religious studies]. – № 1. – P. 52-60. (In Russ.)

Sokolov, A.V. (2012) Protest v sub"ektah Rossijskoj Federacii: formy i tematika aktivnosti [Protest in the subjects of the Russian Federation: forms and topics of activity] // Vestnik Tomskogo gosudarstvennogo uni-versiteta. Filosofiya. Sociologiya. Politologiya [Journal of Tomsk State Uni-versity. Philosophy. Sociology. Political science]. – № 3 (19). – P. 143-151. (In Russ.)

Tokvil', A. (2008). Staryj poryadok i revolyuciya [The Old Order and the Revolution]. – Sankt-Peterburg: Aletejya [St. Petersburg: Aleteya],–

p. (In Russ.)

Том 17 выпуск 4 2022

Published

2022-08-30

How to Cite

Brodovskaya Е. В., Dombrovskaya А. Ю., & Lukushin В. А. (2022). Dominant types and strategies of discontent network management in the regions of the Russian Federation: experience of social graph analysis: EDN: AGPXZO DOI: 10.22394/2071-2367-2022-17-4-15-30. Central Russian Journal of Social Sciences, 17(4), 15–30. Retrieved from https://orelvestnik.ru/index.php/srvon/article/view/222

Issue

Section

Социология и жизнь

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