Topological characteristics of the Buddhist Community in the VKontakte social network

 
PIIS013216250000756-4-1
DOI10.31857/S013216250000756-4
Publication type Article
Status Published
Authors
Occupation: Assoc. Prof. of Department of Political Science and Sociology
Affiliation: Buryat State University
Address: Russian Federation, Ulan-Ude
Affiliation: Buryat State University
Address: Russian Federation, Ulan-Ude
Affiliation: Buryat State University
Address: Russian Federation, Ulan-Ude
Journal nameSotsiologicheskie issledovaniya
EditionIssue 8
Pages74-82
Abstract

   This paper provides an analysis of virtual Buddhist communities in the "VKontakte" social net­works. Social media have become the environment for the emergence of new religious activity forms. Digital social media are a very promising field for sociological research of religious activity and identity. Actually, digital religion is a new agenda in the Sociology of Religion and Digital Social Studies. At the same time this field is connected to the methodological and technical problems of "Big Data" and social networks studies with its weak structured and increasing volume. "VKontakte" is the most popular social network in Russia with more than 380 million users. This article deals with an attempt to analyze a number of important topo­logical characteristics of the graph model of social network "VKontakte" community of Buddhists. For the graph of friendship of Russian Buddhists under consideration, assortativeness, the distribution of degrees of vertices, and the lengths of the shortest paths of the graph are investigated. It is shown that at present there is a significant growth of the Buddhist segment of the social network, there is an increase in the number of Buddhist communities and Buddhist users. This segment as a whole reproduces social and network characteristics, but Buddhism is not an assortative feature, and Buddhist communities are weakly structured and are under the influence of many differentiating factors.

Keywords Buddhism, Buddhist communities, Digital Religion, mathematical modelling, social networks, Internet
Received06.10.2018
Publication date14.10.2018
Number of characters935
Cite   Download pdf To download PDF you should sign in
Размещенный ниже текст является ознакомительной версией и может не соответствовать печатной

views: 775

Readers community rating: votes 0

1. Aktamov I.G., Badmatsyrenov T.B., Khandarov F.V. Osobennosti razvitiya virtual'nykh buddijskikh soobschestv Runeta // Vlast'. 2018. № 2. S. 100-105.

2. Badmatsyrenov T.B. Religioznye praktiki v strukture kul'tovoj sistemy buddizma sovremennoj Burya¬tii//Vlast'. 2017. № 1. S. 143-144.

3. Devyatko I.F. Instrumentarij onlajn-issledovanij: popytka katalogizatsii // Onlajn issledovaniya v Rossii 3.0 / Otv. red. I.F. Devyatko, A.V. Shashkin, S.G. Davydov. M.: OMI RUSSIA, 2012. S. 17-30.

4. Dorzhigushaeva O.V., Dondukov B. Vliyanie informatsionnykh tekhnologij na razvitie buddijskikh soobschestv Rossii // Nauchnye vedomosti Belgorodskogo gosudarstvennogo universiteta. Ser: Filosofiya. Sotsiologiya. Pravo. 2016. T. 35. № 3 (224). S. 110-114.

5. Dudina V.I. Tsifrovye dannye - potentsial razvitiya sotsiologicheskogo znaniya // Sotsiologicheskie issledovaniya. 2016. № 9. S. 21-30.

6. Korytnikova N.V. Online Big Data kak istochnik analiticheskoj informatsii v onlajn-issledovaniyakh // Sotsiologicheskie issledovaniya. 2015. № 8. S. 14-24.

7. Podlazov A.V., Schetinina D.P. Model' rosta sotsial'noj seti // Preprinty IPM im. M.V. Keldysha. 2013. № 95. URL: http://library.keldysh.ru/preprint.asp?id=2013-95 (data obrascheniya: 12.04.2017).

8. Ryjgas E.V. Religioznye vzglyady v virtual'noj real'nosti (na primere tekstov sotsial'noj seti vkontakte.ru) // Sotsiologicheskie issledovaniya. 2013. № 6. S. 115-120.

9. Ahn Y.Y. et al. Analysis of topologic al characteristics of huge online social networking services // Proceedings of the 16th international conference on World Wide Web. ACM. 2007. P. 835-844.

10. Albert R., Jeong H., Barab si A.L. Internet: Diameter of the world-wide web // Nature. 1999. T. 401. № 6749. P. 130-131.

11. Albert R., Barab si A.L. Statistical mechanics of complex networks // Reviews of modern physics. 2002. T. 74. № 1. P. 47.

12. Campbell H. (ed.) Digital Religion: Understanding Religious Practice in New Media Worlds. London: Routledge, 2012.

13. Myers S.A. et al. Information network or social network?: the structure of the twitter follow graph / / Proceedings o f the 23rd International Conference on World Wide Web. ACM, 2014. P. 493-498.

14. Newman M. E. J. Mixing patterns in networks // Physical Review. 2003. T. 67. № 2. P. 026126.

15. Ostroumova-Prokhorenkova L., Krot A. Assortativity in Generalized Preferential Attachment Models // International Workshop on Algorithms and Models for the Web-Graph WAW 2016: Algorithms and Models for the Web Graph, 2016. P. 9-21.

16. Prebish Ch.S. The Cybersangha: Buddhism on the Internet // Religion online: Finding faith on the Internet. London: Routledge, 2004. P. 135-151.

17. Schlutter M. Buddhism in the Digital World // The Wiley Blackwell Companion to East and Inner Asian Buddhism. Wiley Blackwell, 2014. P. 505-522.

18. Wellman B. Network analysis: Some basic principles/ / Sociological Theory. 1983. № 1. P. 155-200.

19. Zhukovskiy M. et al. Empirical validation of the Buckley-Osthus model for the web host graph: degree and edge distributions // Proceedings of the 21st ACM international conference on Information and knowledge management. ACM, 2012. P. 1577-1581.

Система Orphus

Loading...
Up