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http://hdl.handle.net/20.500.12188/26063
Title: | Analysis and Visualization of Social Networks | Authors: | Limonka Koceva Lazarova Natasha Stojkovikj Aleksandra Stojanova Ilievska Dimitrievska Ristovska, Vesna |
Keywords: | Gephi, social network, visualization, Python, blogs, Graph theory | Issue Date: | Dec-2022 | Publisher: | IEEE | Source: | https://ieeexplore.ieee.org/xpl/conhome/10011217/proceeding | Series/Report no.: | ;pp. 6-10 | Conference: | 2022 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA), Skopje, North Macedonia | Abstract: | The 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. | URI: | http://hdl.handle.net/20.500.12188/26063 | DOI: | 10.1109/CoNTESA57046.2022.10011387 |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
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