Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/26063
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dc.contributor.authorLimonka Koceva Lazarovaen_US
dc.contributor.authorNatasha Stojkovikjen_US
dc.contributor.authorAleksandra Stojanova Ilievskaen_US
dc.contributor.authorDimitrievska Ristovska, Vesnaen_US
dc.date.accessioned2023-03-09T08:55:25Z-
dc.date.available2023-03-09T08:55:25Z-
dc.date.issued2022-12-
dc.identifier.citationhttps://ieeexplore.ieee.org/xpl/conhome/10011217/proceedingen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12188/26063-
dc.description.abstractThe huge development of social networks opens the need for their analysis. The visualization of social networks is an important and powerful tool for such kind of analysis. There are many software packages which can be used for visualization. In this paper we are using graph theory, Python, and the free software Gephi to make visualization of social networks. Particularly we have made visualization of social network Twitter in order to show the relations between its users. This visualization helps in the analysis of relations and interactions between social media users.en_US
dc.description.sponsorshipFaculty of computer science and engineering, UKIM, Skopjeen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries;pp. 6-10-
dc.subjectGephi, social network, visualization, Python, blogs, Graph theoryen_US
dc.titleAnalysis and Visualization of Social Networksen_US
dc.typeProceeding articleen_US
dc.relation.conference2022 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA), Skopje, North Macedoniaen_US
dc.identifier.doi10.1109/CoNTESA57046.2022.10011387-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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