Abstract
In this article, I introduce a method that uses large-scale event data and latent factor network models to provide a new comparative measure of cooperation and conflict in public relationships among politicians, nonpartisan political actors, and societal actors. The approach has a number of advantages over existing techniques: It captures public relationships in a multitude of venues on a continuous basis, incorporates both partisan and nonpartisan actors, allows quantifying the relationship between any pair of actors, reflects that communication is not unidirectional but rather a back and forth, and can be applied to a large number of countries over time. I apply the method to 13 Western European countries from 2001 to 2014 and demonstrate that party relationships are determined by coalition status as well as policy differences. The measure is publicly available and can be incorporated into standard research designs.
| Original language | English (US) |
|---|---|
| Journal | American Political Science Review |
| DOIs | |
| State | Accepted/In press - Jan 1 2018 |
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ASJC Scopus subject areas
- Sociology and Political Science
- Political Science and International Relations
Cite this
Quantifying Political Relationships. / Weschle, Simon.
In: American Political Science Review, 01.01.2018.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Quantifying Political Relationships
AU - Weschle, Simon
PY - 2018/1/1
Y1 - 2018/1/1
N2 - In this article, I introduce a method that uses large-scale event data and latent factor network models to provide a new comparative measure of cooperation and conflict in public relationships among politicians, nonpartisan political actors, and societal actors. The approach has a number of advantages over existing techniques: It captures public relationships in a multitude of venues on a continuous basis, incorporates both partisan and nonpartisan actors, allows quantifying the relationship between any pair of actors, reflects that communication is not unidirectional but rather a back and forth, and can be applied to a large number of countries over time. I apply the method to 13 Western European countries from 2001 to 2014 and demonstrate that party relationships are determined by coalition status as well as policy differences. The measure is publicly available and can be incorporated into standard research designs.
AB - In this article, I introduce a method that uses large-scale event data and latent factor network models to provide a new comparative measure of cooperation and conflict in public relationships among politicians, nonpartisan political actors, and societal actors. The approach has a number of advantages over existing techniques: It captures public relationships in a multitude of venues on a continuous basis, incorporates both partisan and nonpartisan actors, allows quantifying the relationship between any pair of actors, reflects that communication is not unidirectional but rather a back and forth, and can be applied to a large number of countries over time. I apply the method to 13 Western European countries from 2001 to 2014 and demonstrate that party relationships are determined by coalition status as well as policy differences. The measure is publicly available and can be incorporated into standard research designs.
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UR - http://www.scopus.com/inward/citedby.url?scp=85052927961&partnerID=8YFLogxK
U2 - 10.1017/S0003055418000461
DO - 10.1017/S0003055418000461
M3 - Article
AN - SCOPUS:85052927961
JO - American Political Science Review
JF - American Political Science Review
SN - 0003-0554
ER -