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parlnet's Introduction

This repository contains R code to build and plot 150 cosponsorship networks out of the legislative activity of 27 parliamentary chambers in 19 European countries, plus Israel. The data cover approximately 558 years of parliamentary interactions. The resulting networks are stored in parlnet.rda.

CITATION

If you make use of the code or data made available through this repository, please cite the following paper:

Briatte, François. 2016. “Network Patterns of Legislative Collaboration in Twenty Parliaments.” Network Science, 4(2): 266–71. doi:10.1017/nws.2015.31

The paper is available online in preprint format, as well as its appendix, which explains how the data were collected and how the networks were constructed.

DATA

Country / Chamber
Austria (lower/national chamber only) R code static plots interactive visualization
Belgium (both chambers) R code static plots interactive visualization
Bulgaria R code static plots interactive visualization
Czech Republic (both chambers) R code static plots interactive visualization
Denmark R code static plots interactive visualization
Estonia R code static plots interactive visualization
Finland R code static plots interactive visualization
France (both chambers) R code static plots interactive visualization
Hungary R code static plots interactive visualization
Iceland R code static plots interactive visualization
Ireland (both chambers) R code static plots interactive visualization
Israel R code static plots interactive visualization
Italy (both chambers) R code static plots interactive visualization
Lithuania R code static plots interactive visualization
Norway R code static plots interactive visualization
Portugal R code static plots interactive visualization
Romania (both chambers) R code static plots interactive visualization
Slovakia R code static plots interactive visualization
Sweden R code static plots interactive visualization
Switzerland (both chambers) R code static plots interactive visualization

DOCS

The repository contains a HOWTO file with detailed instructions on how to get and run the code, and the README file of each country-specific repository contains further details on code execution and data collection, as well as additional thanks to people who provided help. Further ideas and links are available in the repository wiki.

The raw data collected by release 2.6 (January 2016) is available online as an archive of HTML, JSON and XML files. It can be accessed at the following DOI handle:

DOI

Please report bugs or suggestions as issues, either in this repository if the issue affects all countries, or in the country-specific repository otherwise.

The code to produce interactive visualizations of the networks is available separately from the parlviz repository.

EXTRAS

  • Amendment cosponsorships in the European Parliament: code, plots, viz
  • Amendment cosponsorships in the Tunisian Constituent Assembly: code, plots, viz
  • Bill cosponsorships in the National Assembly of South Korea: code, plots
  • Bill cosponsorships in both houses of the U.S. Congress: code, plots
  • Motion cosponsorships in both houses of the Dutch Parliament: code, plots
  • Early day motion cosponsorships in the U.K. House of Commons: code, plots

LICENSE

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

THANKS

parlnet's People

Contributors

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Stargazers

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parlnet's Issues

Update the documentation

The summary figures are from an old version of parlnet, and some tables for the newly covered countries are missing. There also are a few things to fix in the party ideological scores tables.

Make ParlGov party scores time-variant

  • Add code to concatenate party acronym to start year of legislature
  • Make parties.r files follow ParlGov scores across time
  • Show variations in appendix tables

Handle alongside #10.

Data auto-updates

  • Add an update variable set to FALSE to all makefiles
  • Add an update.r script that erases the files that, if absent, trigger an update

Pro: data that can be automatically updated through a cron job.
Con: a lot of reorganization in all of the data.r scripts.

Add NEWS files

… in order to list blog posts that explain government coalitions over covered period.

Example sources:

Fix scraper for Finland

See this issue. The situation seems desperate (someone emailed with the same issue, and several other projects are also broken), so there is no milestone assigned to this issue.

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