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Cosponsorship Network Analysis

Cosponsorship 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.

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来源

  1. Fowler, J. H. (2006). Connecting the Congress: A Study of Cosponsorship Networks. Political Analysis, 14(4), 456–487. DOI: 10.1093/pan/mpl002
  2. Cranmer, S. J., & Desmarais, B. A. (2011). Inferential Network Analysis with Exponential Random Graph Models. Political Analysis, 19(1), 66–86. DOI: 10.1093/pan/mpr032

如何引用本页

ScholarGate. (2026, June 22). Legislative Cosponsorship Network Analysis. ScholarGate. https://scholargate.app/zh/political-science/cosponsorship-network-analysis

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ScholarGateCosponsorship Network Analysis (Legislative Cosponsorship Network Analysis). 于 2026-06-24 检索自 https://scholargate.app/zh/political-science/cosponsorship-network-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026