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ZENODO
Dataset . 2017
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
Data sources: ZENODO
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Money And Politics

Authors: Yu-Ru Lin;

Money And Politics

Abstract

The data sets released here has been used in our study on "The Geography of Money and Politics." In this study, we examined the social antecedents for contributing to campaigns, with a particular focus on the role of population density and social networking opportunities. Using ten years of US campaign contribution data from the Federal Election Commission (FEC) and a national survey of party leaders, we reported interesting findings regarding the interplay among density and mobility (operationalized by commuting flows). This analysis also reveals differences between political parties. Democrats are more dependent on social networking in dense population areas. This difference in the importance of social networking opportunities present in geographical space helps explain macro-level patterns in party fundraising. Our study was based on a collection of data sets, including: 1) FEC contribution, 2) US census, 3) US presidential vote share, 4) earning, and 5) commuting. These data were used to create the final analysis dataset consisting of variables in the models described in our R&P paper. The MATLAB code can be used to reproduce the results w.r.t. all models specified in the paper. More details can be found in the enclosed README files. Publication If you make use of this data set, please cite: Lin, Y.-R., Kennedy, R., Lazer, D. (2017). The Geography of Money and Politics: Population Density, Social Networking and Political Contributions. Research & Politics, 4(4) (doi: 10.1177/2053168017742015)

Keywords

political geography, political campaigns

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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