Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/19853
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dc.contributor.authorMirchev, Miroslaven_US
dc.contributor.authorMishkovski, Igoren_US
dc.contributor.authorSerafimov, Daviden_US
dc.date.accessioned2022-06-28T11:18:46Z-
dc.date.available2022-06-28T11:18:46Z-
dc.date.issued2019-10-17-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/19853-
dc.description.abstractInstagram is a social networking platform which gained popularity even faster than most of the other modern online social networks. It is relatively newer and less explored than other social networks, such as Facebook and Twitter. Therefore, we have conducted a research based on a sample data set extracted through the Instagram weekend hashtag project, in order to unveil some of its characteristics. First, we reveal the various forms of friendship paradox present in Instagram, which are often observed in social networks. Then, we conduct a detailed hashtag analysis and provide a method for hashtag representation and recommendation using natural language processing.en_US
dc.publisherSpringer, Chamen_US
dc.subjectonline social networks, network science, natural language processingen_US
dc.titleFriendship paradox and hashtag embedding in the instagram social networken_US
dc.typeProceeding articleen_US
dc.relation.conferenceInternational Conference on ICT Innovationsen_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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