Abstract
The paper presents a Complex Network Analysis of Twitter communication activities invoking the political protests caused by the murder of Slovakian journalist Ján Kuciak in February 2018 and followed by a governmental resignation. It offers an overview of existing approaches to analyze the social networks communication strategies and the related specific linguistic markers (hashtags) used during the network communications sessions in similar political protests and outlines that which are typical for the protests in Slovakia. The approach used is the application of Artificial Neural Networks and Big Data Analysis techniques employing complex network analysis by utilizing word vector representations within the neural embedding model. We estimate the statistical similarity of most popular hashtags used during the protests communications network activities and evaluate their ability to add a meaning and to mobilize discussing participants to act as protesting activists. Finally, we outline how the specific hashtags (slogans) function as clear and mobilizing political messages.
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Acknowledgements
This work is partially supported by the Ireland Research Center Programme (Grant 13/RC/2106), by HELIOS H2020 grant No 825585, and by DFNI-DN-12/5 project.
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Kapanova, K.G., Stoykova, V. (2021). Timeline Event Analysis of Social Network Communications Activity: The Case of Ján Kuciak. In: Dimov, I., Fidanova, S. (eds) Advances in High Performance Computing. HPC 2019. Studies in Computational Intelligence, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-55347-0_11
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DOI: https://doi.org/10.1007/978-3-030-55347-0_11
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