期刊
IEEE ACCESS
卷 7, 期 -, 页码 411-426出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2018.2885479
关键词
Social network services; network theory (graphs); big data applications
资金
- Academy of Finland [268078]
- U.S. Air Force Research Laboratory (AFRL) European Office of Aerospace Research and Development [FA9550-17-1-0030]
- U.S. Air Force Office of Scientific Research
- AFRL Mathematical Modeling and Optimization Institute
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 under-explored. This paper 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 to December 2016, we conduct a multiscale empirical study of this network by considering connections among individual users, cities, and countries. Our findings indicate that the 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. Furthermore, 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.
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