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dc.contributor.authorSemenov, Alexander
dc.contributor.authorMantzaris, Alexander V.
dc.contributor.authorNikolaev, Alexander
dc.contributor.authorVeremyev, Alexander
dc.contributor.authorVeijalainen, Jari
dc.contributor.authorPasiliao, Eduardo L.
dc.contributor.authorBoginski, Vladimir
dc.date.accessioned2019-05-27T07:21:17Z
dc.date.available2019-05-27T07:21:17Z
dc.date.issued2019
dc.identifier.citationSemenov, 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.otherCONVID_28779542
dc.identifier.otherTUTKAID_79850
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/64195
dc.description.abstractThe “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.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.ispartofseriesIEEE Access
dc.rightsIn Copyright
dc.subject.othersovellukset (tietotekniikka)
dc.subject.othersocial network services
dc.subject.othernetwork theory (graphs)
dc.subject.otherbig data applications
dc.titleExploring social media network landscape of post-Soviet space
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201905272803
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietojärjestelmätiedefi
dc.contributor.oppiaineInformation Systems Scienceen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2019-05-27T06:15:20Z
dc.description.reviewstatuspeerReviewed
dc.format.pagerange411-426
dc.relation.issn2169-3536
dc.relation.numberinseries0
dc.relation.volume7
dc.type.versionpublishedVersion
dc.rights.copyright© IEEE, 2019.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber268078
dc.relation.grantnumberFA9550-17-1-0030
dc.subject.ysoverkostot
dc.subject.ysososiaalinen media
dc.subject.ysobig data
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p5570
jyx.subject.urihttp://www.yso.fi/onto/yso/p20774
jyx.subject.urihttp://www.yso.fi/onto/yso/p27202
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1109/ACCESS.2018.2885479
dc.relation.funderSuomen Akatemiafi
dc.relation.funderAir Force Office of Scientific Researchfi
dc.relation.funderAcademy of Finlanden
dc.relation.funderAir Force Office of Scientific Researchen
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundingprogramMuutfi
jyx.fundingprogramAcademy Project, AoFen
jyx.fundingprogramOthersen
jyx.fundinginformationThe 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.


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