Please use this identifier to cite or link to this item: 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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