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Cosponsorship Network Analysis×Ideal Point Estimation×
FachgebietPolitical SciencePolitical Science
FamilieProcess / pipelineLatent structure
Entstehungsjahr20062004
UrheberJames H. FowlerClinton, Jackman & Rivers (Bayesian formulation); Poole & Rosenthal (spatial tradition)
TypSocial-network analysis of legislative collaborationLatent-variable spatial model of binary choice data
Wegweisende QuelleFowler, J. H. (2006). Connecting the Congress: A Study of Cosponsorship Networks. Political Analysis, 14(4), 456–487. DOI ↗Clinton, J., Jackman, S., & Rivers, D. (2004). The Statistical Analysis of Roll Call Data. American Political Science Review, 98(2), 355–370. DOI ↗
AliasnamenCosponsorship networks, Legislative collaboration networks, Bill cosponsorship analysis, Co-sponsorship network analysisIdeal point model, Item response theory for roll calls, Spatial voting model, Bayesian ideal points
Verwandt34
ZusammenfassungCosponsorship 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.Ideal point estimation recovers the latent policy positions — ideal points — of political actors from their observed binary choices, most often legislators' yea/nay votes on roll calls. Building on the spatial theory of voting and formalized as a Bayesian item-response model by Clinton, Jackman, and Rivers in 2004, it places each legislator and each bill in a low-dimensional policy space and estimates positions so that the probability a legislator votes yea increases as the bill's 'yea' outcome moves closer to that legislator's ideal point.
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ScholarGateMethoden vergleichen: Cosponsorship Network Analysis · Ideal Point Estimation. Abgerufen am 2026-06-24 von https://scholargate.app/de/compare