scholarly journals A Retweet Network Analysis of the European Parliament

2015 ◽  
Author(s):  
Darko Cherepnalkoski ◽  
Igor Mozetic
Keyword(s):  
Network Analysis ◽  
European Parliament

Zastosowanie analizy sieci społecznych w badaniach elit parlamentarnych (na przykładzie eurodeputowanych z Polski)

2014 ◽  
pp. 8-24 ◽  
Author(s):  
Piotr Swacha
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
European Parliament ◽  
Political Groups ◽  
Graphical Presentation ◽  
Relational Network

The purpose of this article is to present the possibilities of using social network analysis (SNA) in the study of the European Parliament elite. This study focuses on organisational connections between Polish members of the European Parliament (seventh term). Official organisational relationships of Polish MEPs include common membership in: political groups, authorities of parliamentary committees and delegations, Parliament’s Bureau, Conference of Presidents, Conference of Committee (and Delegation) Chairs. UCInet and Netdraw programmes were used to calculate SNA’s basic measures and to prepare graphical presentation of relational network created by the Polish MEPs. On this basis main characteristics of the network were presented and MEPs who had the best network locations were distinguished.

scholarly journals Oral Questions in the European Parliament: A Network Analysis

2019 ◽  
Vol 10 (2) ◽  
pp. 87-113
Author(s):  
Sebastian Jäckle ◽  
Thomas Metz
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Group Membership ◽  
European Parliament ◽  
Global Network ◽  
Us Congress ◽  
Internal Working ◽  
The Us ◽  
Parliamentary Systems ◽  
Demand Information

Abstract Internal working structures within parliaments are notoriously hard to capture. While analyses based on bill co-sponsorship work for the US Congress, this approach is not feasible in many parliamentary systems. Drawing on data from the European Parliament’s legislative term of 2009–2014 this article shows that parliamentary questions can be another option. Members of the European Parliament may demand information from the Council or the Commission through oral questions. We take advantage of the fact that these questions are signed by their authors and construct a social network of members of the Parliament that support each other’s oral questions. This allows investigating how members and their groups and committees cooperate to control both Council and Commission. Our approach helps to map out the internal structure of the party groups and explore which forces shape the global network. We find that cooperation is mostly driven by party group membership with ALDE, Green/EFA, and GUENGL turning out as the most cohesive groups while SD is internally rather loosely connected. The second strongest clustering characteristic is a legislators’ native country.

Who Is Connected to Whom? A Twitter-Based Network Analysis of Members of the European Parliament Elected in 2019

2020 ◽  
pp. 423-435
Author(s):  
Stefan Haußner ◽  
Christoph Klika
Keyword(s):  
Network Analysis ◽  
European Parliament

1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
Renal Stones ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural

Appendix: Some fundamentals of network analysis

1990 ◽  
pp. 235-240
Keyword(s):  
Network Analysis

The European Parliament and Supranational Party System

2001 ◽  
Author(s):  
Amie Kreppel
Keyword(s):  
Party System ◽  
European Parliament
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