Dissent and Rebellion in the House of Commons: A Social Network Analysis of Brexit-Related Divisions in the 57$^{ th}$ Parliament

August 23, 2019 Β· Declared Dead Β· πŸ› Applied Network Science

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Authors Carla Intal, Taha Yasseri arXiv ID 1908.08859 Category physics.soc-ph Cross-listed cs.SI Citations 7 Venue Applied Network Science Last Checked 3 months ago
Abstract
The British party system is known for its discipline and cohesion, but it remains wedged on one issue: European integration. We offer a methodology using social network analysis that considers the individual interactions of MPs in the voting process. Using public Parliamentary records, we scraped votes of individual MPs in the 57th parliament (June 2017 to April 2019), computed pairwise similarity scores and calculated rebellion metrics based on eigenvector centralities. Comparing the networks of Brexit- and non-Brexit divisions, our methodology was able to detect a significant difference in eurosceptic behaviour for the former, and using a rebellion metric we predicted how MPs would vote in a forthcoming Brexit deal with over 90% accuracy.
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