<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Political network data can often be challenging to collect and clean for analysis. This article demonstrates how the incidentally and backbone packages for R can be used together to construct networks among legislators in the US Congress. These networks can be customized to focus on a specific chamber (Senate or House of Representatives), session (2003 to present), legislation type (bills and resolutions), and policy area (32 topics). Four detailed examples with replicable code are presented to illustrate the types of networks and types of insights that can be obtained using these tools.</p>
</abstract>

Political network data can often be challenging to collect and clean for analysis. This article demonstrates how the incidentally and backbone packages for R can be used together to construct networks among legislators in the US Congress. These networks can be customized to focus on a specific chamber (Senate or House of Representatives), session (2003 to present), legislation type (bills and resolutions), and policy area (32 topics). Four detailed examples with replicable code are presented to illustrate the types of networks and types of insights that can be obtained using these tools.

Constructing legislative networks in R using incidentally and backbone

Connections

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Constructing legislative networks in R using incidentally and backbone"}

Political network data can often be challenging to collect and clean for analysis. This article demonstrates how the incidentally and backbone packages for R...

Constructing legislative networks in R using incidentally and backbone

Article Category: Article

Published Online: Oct 14, 2022

Page range: 1 - 9

DOI: https://doi.org/10.2478/connections-2019.026

Keywords
Co-sponsorship, Data, Legislation, Legislative network, Political network

© 2022 Zachary P. Neal, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Constructing legislative networks in R using incidentally and backbone

Article Category: Article

Published Online: Oct 14, 2022

Page range: 1 - 9

DOI: https://doi.org/10.2478/connections-2019.026

KeywordsCo-sponsorship, Data, Legislation, Legislative network, Political network

© 2022 Zachary P. Neal, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Co-sponsorship, Data, Legislation, Legislative network, Political network