2020
DOI: 10.1177/1532440019892583
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Mapping Influence: Partisan Networks across the United States, 2000 to 2016

Abstract: The parties as networks approach has become a critical component of understanding American political parties. Research on it has so far mainly focused on variation in the placement of candidates within a network at the national level. This is in part due to a lack of data on state-level party networks. In this article, I fill that gap by developing state party networks for 47 states from 2000 to 2016 using candidate donation data. To do this, I introduce a backboning network analysis method not yet used in pol… Show more

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Cited by 5 publications
(7 citation statements)
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References 53 publications
(68 reference statements)
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“…Combining the suggestions for future research made here with the existing research on broader political party networks will help to provide a more complete picture of the role of political parties in primary elections. (Reuning 2019). This means state party organizations can partner with their allies in these broader networks to work towards their goals.…”
Section: Discussionmentioning
confidence: 99%
“…Combining the suggestions for future research made here with the existing research on broader political party networks will help to provide a more complete picture of the role of political parties in primary elections. (Reuning 2019). This means state party organizations can partner with their allies in these broader networks to work towards their goals.…”
Section: Discussionmentioning
confidence: 99%
“…Our dependent variable is centrality within a party’s donation network. Reuning (2020) uses state legislative donation data to infer relationships among groups participating in state elections. In these networks, each node is an organization (non-individual) that participated in at least two election cycles between 2000 and 2016.…”
Section: Methodsmentioning
confidence: 99%
“…Two groups, nodes, are connected (have an edge between them) if their donation patterns are more similar to each other than what would be expected from chance given each group’s general propensity to donate. 4 The details of this edge identification method and its validation is in Reuning (2020). Each edge is interpreted as two groups working together to support similar candidates.…”
Section: Methodsmentioning
confidence: 99%
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