{"title":"Mapping Influence: Partisan Networks across the United States, 2000 to 2016","authors":"K. Reuning","doi":"10.1177/1532440019892583","DOIUrl":null,"url":null,"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 political science to infer relationships among donors at the state level. Finally, I validate these state networks and then show how parties have varied across states and over time. The networks developed here will be made publicly available for future research. Being able to quantify variation in party network structure will be important for understanding variation in party–policy linkages at the state level.","PeriodicalId":47181,"journal":{"name":"State Politics & Policy Quarterly","volume":"20 1","pages":"267 - 291"},"PeriodicalIF":1.7000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1532440019892583","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"State Politics & Policy Quarterly","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/1532440019892583","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
引用次数: 6
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 political science to infer relationships among donors at the state level. Finally, I validate these state networks and then show how parties have varied across states and over time. The networks developed here will be made publicly available for future research. Being able to quantify variation in party network structure will be important for understanding variation in party–policy linkages at the state level.
期刊介绍:
State Politics & Policy Quarterly (SPPQ) features studies that develop general hypotheses of political behavior and policymaking and test these hypotheses using the unique methodological advantages of the states. It also includes field review essays and a section entitled “The Practical Researcher,” which is a service-oriented feature designed to provide a data, methodological, and assessment resource for those conducting research on state politics. SPPQ is the official journal of the State Politics and Policy section of the American Political Science Association and is published by the University of Illinois Press for the Institute of Legislative Studies at the University of Illinois at Springfield.