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Cited by 257

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Friends, Brokers, and Transitivity: Who Informs Whom in Washington Politics?

Open access
Carpenter, Daniel P., Esterling, Kevin M., Lazer, David M. J.·2004·The Journal of Politics

Abstract

Why and how do groups share information in politics? Most studies of information exchange in politics focus on individual-level attributes and implicitly assume that communication between any two policy actors is independent of the larger communication network in which they are embedded. We develop a theory stating that the decision of any lobbyist to inform another lobbyist is heavily conditioned upon their mutual relationships to third parties. We analyze over 40,000 dyadic relationships among lobbyists, government agencies, and congressional staff using sociometric data gathered in the 1970s health and energy policy domains. The results cohere with recent findings that lobbyists disproportionately inform those with similar preferences and show in addition that political communication is transitive: holding constant the degree of preference similarity, a lobbyist is more likely to communicate with another lobbyist if their relationship is brokered by a third party.

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Crossref · 10.1046/j.1468-2508.2004.00149.x

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Metadata

Authors
Carpenter, D. P., Esterling, K. M., & Lazer, D. M. J.
Venue
The Journal of Politics
Published
2004-02
Volume
66
Issue
1
Pages
224-246
ISSN
  • 0022-3816 (ISSN-L)
  • 1468-2508
OpenAlex
W2110275679
Cited by
257
References
3
FWCI
18.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Friends, Brokers, and Transitivity: Who Informs Whom in Washington Politics? https://app.cochat.ai/papers/10.1046/j.1468-2508.2004.00149.x
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Carpenter, D. P., Esterling, K. M., & Lazer, D. M. J. (2004). Friends, Brokers, and Transitivity: Who Informs Whom in Washington Politics? The Journal of Politics. https://doi.org/10.1046/j.1468-2508.2004.00149.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.