dc.contributor.author | Semenov, Alexander | |
dc.contributor.author | Mantzaris, Alexander V. | |
dc.contributor.author | Nikolaev, Alexander | |
dc.contributor.author | Veremyev, Alexander | |
dc.contributor.author | Veijalainen, Jari | |
dc.contributor.author | Pasiliao, Eduardo L. | |
dc.contributor.author | Boginski, Vladimir | |
dc.date.accessioned | 2019-05-27T07:21:17Z | |
dc.date.available | 2019-05-27T07:21:17Z | |
dc.date.issued | 2019 | |
dc.identifier.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. <i>IEEE Access</i>, <i>7</i>, 411-426. <a href="https://doi.org/10.1109/ACCESS.2018.2885479" target="_blank">https://doi.org/10.1109/ACCESS.2018.2885479</a> | |
dc.identifier.other | CONVID_28779542 | |
dc.identifier.other | TUTKAID_79850 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/64195 | |
dc.description.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. | fi |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers | |
dc.relation.ispartofseries | IEEE Access | |
dc.rights | In Copyright | |
dc.subject.other | sovellukset (tietotekniikka) | |
dc.subject.other | social network services | |
dc.subject.other | network theory (graphs) | |
dc.subject.other | big data applications | |
dc.title | Exploring social media network landscape of post-Soviet space | |
dc.type | article | |
dc.identifier.urn | URN:NBN:fi:jyu-201905272803 | |
dc.contributor.laitos | Informaatioteknologian tiedekunta | fi |
dc.contributor.laitos | Faculty of Information Technology | en |
dc.contributor.oppiaine | Tietojärjestelmätiede | fi |
dc.contributor.oppiaine | Information Systems Science | en |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
dc.date.updated | 2019-05-27T06:15:20Z | |
dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 411-426 | |
dc.relation.issn | 2169-3536 | |
dc.relation.numberinseries | 0 | |
dc.relation.volume | 7 | |
dc.type.version | publishedVersion | |
dc.rights.copyright | © IEEE, 2019. | |
dc.rights.accesslevel | openAccess | fi |
dc.relation.grantnumber | 268078 | |
dc.relation.grantnumber | FA9550-17-1-0030 | |
dc.subject.yso | verkostot | |
dc.subject.yso | sosiaalinen media | |
dc.subject.yso | big data | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p5570 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p20774 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p27202 | |
dc.rights.url | http://rightsstatements.org/page/InC/1.0/?language=en | |
dc.relation.doi | 10.1109/ACCESS.2018.2885479 | |
dc.relation.funder | Suomen Akatemia | fi |
dc.relation.funder | Air Force Office of Scientific Research | fi |
dc.relation.funder | Research Council of Finland | en |
dc.relation.funder | Air Force Office of Scientific Research | en |
jyx.fundingprogram | Akatemiahanke, SA | fi |
jyx.fundingprogram | Muut | fi |
jyx.fundingprogram | Academy Project, AoF | en |
jyx.fundingprogram | Others | en |
jyx.fundinginformation | 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. | |
dc.type.okm | A1 | |