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Content-based comparison of communities in social networks: Ex-Yugoslavian reactions to the Russian invasion of Ukraine by Bojan Evkoski; Petra Kralj Novak; Nikola Ljubešić is a Physics and Astronomy article available to read on EtoBox.

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## Abstract We discuss the added value of various approaches for identifying similarities in social network communities based on the content they produce. We show the limitations of observing communities using topology-only and illustrate the benefits and complementarity of including supplementary data when analyzing social networks. As a case study, we analyze the reactions of the Ex-Yugoslavian retweet communities to the Russian invasion of Ukraine, comparing topological inter-community interaction with their content-based similarity (hashtags, news sources, topics and sentiment). The findings indicate that despite the Ex-Yugoslavian countries having a common macro-language, their retweet communities exhibit diverse responses to the invasion. Certain communities exhibit a notable level of content-based similarity, although their topological similarity remains relatively low. On the other hand, there are communities that display high similarity in specific types of content, but demonstrate less similarity when considering other aspects. For example, we identify a strong echo-chamber community linked to the Serbian government that deliberately avoids the invasion topic, despite sho

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Author

Bojan Evkoski; Petra Kralj Novak; Nikola Ljubešić

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN

Field

Physics and Astronomy (Physical Sciences)