Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities
Autor: | Igor Mozetič, Miha Grčar, Andreas Karpf, Darko Cherepnalkoski |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
FOS: Computer and information sciences
Economics lcsh:Medicine Social Sciences Datasets as Topic Elections 01 natural sciences Monetary Policy 010104 statistics & probability Computer Science - Computers and Society Governments Mathematical and Statistical Techniques Sociology 050602 political science & public administration Psychology Cooperative Behavior lcsh:Science Policy Making media_common Multidisciplinary Computer Science - Computation and Language 05 social sciences Politics Social Communication Computer Science - Social and Information Networks 16. Peace & justice 0506 political science Cohesion (linguistics) Social Networks Physical Sciences Social psychology Computation and Language (cs.CL) Network Analysis Statistics (Mathematics) Research Article Political Parties Computer and Information Sciences Parliament media_common.quotation_subject Political Science Research and Analysis Methods Political science Exponential random graph models Computers and Society (cs.CY) media_common.cataloged_instance Humans Social media European Union 0101 mathematics European union Statistical Methods Social and Information Networks (cs.SI) Roll call Political Systems udc:004.7 lcsh:R Perspective (graphical) Biology and Life Sciences Communications Collective Human Behavior Public Finance lcsh:Q Social Media Mathematics Finance Meta-Analysis |
Zdroj: | PLoS ONE PloS one, vol. 11, no. 11, pp. 0166586-1-0166586-27, 2016. PLOS ONE PLoS ONE, Vol 11, Iss 11, p e0166586 (2016) |
ISSN: | 1932-6203 |
Popis: | We study the cohesion within and the coalitions between political groups in the Eighth European Parliament (2014--2019) by analyzing two entirely different aspects of the behavior of the Members of the European Parliament (MEPs) in the policy-making processes. On one hand, we analyze their co-voting patterns and, on the other, their retweeting behavior. We make use of two diverse datasets in the analysis. The first one is the roll-call vote dataset, where cohesion is regarded as the tendency to co-vote within a group, and a coalition is formed when the members of several groups exhibit a high degree of co-voting agreement on a subject. The second dataset comes from Twitter; it captures the retweeting (i.e., endorsing) behavior of the MEPs and implies cohesion (retweets within the same group) and coalitions (retweets between groups) from a completely different perspective. We employ two different methodologies to analyze the cohesion and coalitions. The first one is based on Krippendorff's Alpha reliability, used to measure the agreement between raters in data-analysis scenarios, and the second one is based on Exponential Random Graph Models, often used in social-network analysis. We give general insights into the cohesion of political groups in the European Parliament, explore whether coalitions are formed in the same way for different policy areas, and examine to what degree the retweeting behavior of MEPs corresponds to their co-voting patterns. A novel and interesting aspect of our work is the relationship between the co-voting and retweeting patterns. |
Databáze: | OpenAIRE |
Externí odkaz: |