2018
DOI: 10.14746/pp.2018.23.4.3
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Social Network Analysis as a research method in political science. An attempt to use it in coalition research

Abstract: The main aim of the article is to argue the need for better focus of researchers conducting their research in the field of political science on some digital analytical tools used in social network analyses. Additional objectives are to outline the historical context of SNA's development in this discipline, as well as to present possible fields of exploration and using of this method, both in basic and in applied research. Particular attention was paid to the potential of SNA in the study of the processes of ca… Show more

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Cited by 4 publications
(2 citation statements)
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“…Secondly, capturing the characteristics of these interactions, such as centrality, reciprocity and closeness, is considered equally important (Glinka 2015b, 250-254;cf. Wassermann, Faust 1994;Cross, Parker 2004;Durland, Fredericks 2005;Borgatti, Mehra, Brass, Labianca 2009;Mützel 2009;Żukiewicz, Zieliński and Domagała 2018).…”
Section: Group Onementioning
confidence: 99%
“…Secondly, capturing the characteristics of these interactions, such as centrality, reciprocity and closeness, is considered equally important (Glinka 2015b, 250-254;cf. Wassermann, Faust 1994;Cross, Parker 2004;Durland, Fredericks 2005;Borgatti, Mehra, Brass, Labianca 2009;Mützel 2009;Żukiewicz, Zieliński and Domagała 2018).…”
Section: Group Onementioning
confidence: 99%
“…While a significant amount of the growing body of literature that explores the role of social media on elections has focused on the possibility of predicting outcomes with a plethora of methods 5,6 , the possibility of developing robust methods for this purpose has been disputed and controversial 7 . Simultaneously, social network analysis remains underused as a paradigm to understand relational phenomena in political science 8,9 . In this study, the use of a simple method is explored, based on social network analysis (convergence), to understand the formation of consensus in political debates (elections).Twitter studies.…”
mentioning
confidence: 99%