Exploring Social Media Network Landscape of Post-Soviet Space

被引:6
|
作者
Semenov, Alexander [1 ]
Mantzaris, Alexander, V [2 ]
Nikolaev, Alexander [3 ]
Veremyev, Alexander [4 ]
Veijalainen, Jari [1 ]
Pasiliao, Eduardo L. [5 ]
Boginski, Vladimir [4 ]
机构
[1] Univ Jyvaskyla, Fac Informat Technol, FI-40014 Jyvaskyla, Finland
[2] Univ Cent Florida, Dept Stat, Orlando, FL 32816 USA
[3] Univ Buffalo, Dept Ind & Syst Engn, Buffalo, NY 14260 USA
[4] Univ Cent Florida, Dept Ind Engn & Management Syst, Orlando, FL 32816 USA
[5] Air Force Res Lab, Eglin AFB, FL 32542 USA
来源
IEEE ACCESS | 2019年 / 7卷
基金
芬兰科学院;
关键词
Social network services; network theory (graphs); big data applications;
D O I
10.1109/ACCESS.2018.2885479
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:411 / 426
页数:16
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