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Cosponsorship Network Analysis×Manifesto Coding×
CampoPolitical SciencePolitical Science
FamigliaProcess / pipelineProcess / pipeline
Anno di origine20062001
IdeatoreJames H. FowlerManifesto Research Group / Comparative Manifesto Project (CMP/MARPOR)
TipoSocial-network analysis of legislative collaborationQuantitative content analysis of party manifestos
Fonte seminaleFowler, J. H. (2006). Connecting the Congress: A Study of Cosponsorship Networks. Political Analysis, 14(4), 456–487. DOI ↗Budge, I., Klingemann, H.-D., Volkens, A., Bara, J., & Tanenbaum, E. (2001). Mapping Policy Preferences: Estimates for Parties, Electors, and Governments 1945–1998. Oxford: Oxford University Press. ISBN: 9780199244003
AliasCosponsorship networks, Legislative collaboration networks, Bill cosponsorship analysis, Co-sponsorship network analysisCMP coding, MARPOR coding, Manifesto content analysis, Party manifesto coding
Correlati34
SintesiCosponsorship network analysis treats legislative collaboration as a social network: when legislators cosponsor one another's bills, they form ties, and the resulting web of connections can be measured with the tools of network science. Introduced to congressional studies by James Fowler in 2006, it turns the public record of who signed on to whose bills into a graph among lawmakers, revealing who is central and influential, how connected the chamber is, and which clusters of legislators form coalitions. With inferential network models such as ERGMs, researchers move from describing the network to explaining why ties form.Manifesto coding is the quantitative content-analysis methodology of the Comparative Manifesto Project (CMP/MARPOR) for measuring parties' policy preferences from their election manifestos. Trained coders break each manifesto into quasi-sentences and assign every unit to one of a fixed set of policy categories. Counting how often each category appears yields salience measures, and combining pro- and anti- categories produces position scores such as the left–right RILE index, giving comparable estimates of party positions across more than fifty democracies since 1945.
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