Exploring social media network landscape of post-Soviet space

Abstract
The “post-Soviet space" consists of countries with a substantial fraction of the world’s population; however, unlike many other regions, its social media network landscape is still somewhat underexplored. This study aims at filling this gap. To this purpose, we use anonymized data on user friendships at VK.com (also known as VKontakte and, informally, as “Russian Facebook"), which is the largest and most popular social media portal in the post-Soviet space with hundreds of millions of user accounts. Using the VK network snapshots from October 2015 and December 2016, we conduct a “multiscale” empirical study of this network by considering connections between individual users, cities, and countries. Our findings indicate that VK users form a small-world network with basic characteristics consistent with Facebook and other social media networks. In addition, the analysis of modularity-based communities within the user scale network reveals a pattern of geographical separation of the identified communities mostly along the borders between countries. However, the comparison of the two network snapshots suggests that some of these communities may be “blending” within the network, whereas other communities remain “self-contained.” Further, the analysis of city scale and country scale networks identifies cities and countries that are most “central” (in the context of certain metrics) in the VK network.
Main Authors
Format
Articles Research article
Published
2019
Series
Subjects
Publication in research information system
Publisher
Institute of Electrical and Electronics Engineers
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201905272803Use this for linking
Review status
Peer reviewed
ISSN
2169-3536
DOI
https://doi.org/10.1109/ACCESS.2018.2885479
Language
English
Published in
IEEE Access
Citation
  • Semenov, A., Mantzaris, A. V., Nikolaev, A., Veremyev, A., Veijalainen, J., Pasiliao, E. L., & Boginski, V. (2019). Exploring social media network landscape of post-Soviet space. IEEE Access, 7, 411-426. https://doi.org/10.1109/ACCESS.2018.2885479
License
In CopyrightOpen Access
Funder(s)
Research Council of Finland
Air Force Office of Scientific Research
Funding program(s)
Akatemiahanke, SA
Muut
Academy Project, AoF
Others
Research Council of Finland
Additional information about funding
The work of A. Semenov was supported in part by the Academy of Finland (MineSocMed) under Grant 268078 and in part by the U.S. Air Force Research Laboratory (AFRL) European Office of Aerospace Research and Development under Grant FA9550-17-1-0030. The work of A. Nikolaev was supported in part by the Academy of Finland (MineSocMed) under Grant 268078 and in part by the 2016 Summer Faculty Fellowship through the U.S. Air Force Office of Scientific Research. J. Veijalainen was supported by the Academy of Finland (MineSocMed) under Grant 268078. This work was supported in part by the AFRL Mathematical Modeling and Optimization Institute.
Copyright© IEEE, 2019.

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