A network-based measure of cosponsorship influence on bill passage in the United States House of Representatives

Abstract Each year, the United States Congress considers thousands of legislative proposals to select bills to present to the US President to sign into law. Naturally, the decision processes of members of Congress are subject to peer influence. In this paper, we examine the effect on bill passage of accrued influence between US Congress members in the US House of Representatives. We explore how the influence of a bill’s cosponsors affects the bill’s outcome (specifically, whether or not it passes in the House). We define a notion of influence by analyzing the structure of a network that we construct using cosponsorship dynamics. We award ‘influence’ between a pair of Congress members when they cosponsor a bill that achieves some amount of legislative success. We find that properties of the bill cosponsorship network can be a useful signal to examine influence in Congress; they help explain why some bills pass and others fail. We compare our measure of influence to conventional centrality measures and conclude that our influence measure is more indicative of bill passage.

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Publication Details

Journal
EPJ Data Science
Published
2026-10-05
DOI
https://doi.org/10.1140/epjds/s13688-026-00689-4
Primary Topic
Complex Network Analysis Techniques
Type
article
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article

A network-based measure of cosponsorship influence on bill passage in the United States House of Representatives

Sanjukta Krishnagopal, Mason Alexander Porter, Sarah Sotoudeh
EPJ Data Science
Complex Network Analysis Techniques
article

A network-based measure of cosponsorship influence on bill passage in the United States House of Representatives

Sanjukta Krishnagopal, Mason Alexander Porter, Sarah Sotoudeh
article en

Abstract

Abstract Each year, the United States Congress considers thousands of legislative proposals to select bills to present to the US President to sign into law. Naturally, the decision processes of members of Congress are subject to peer influence. In this paper, we examine the effect on bill passage of accrued influence between US Congress members in the US House of Representatives. We explore how the influence of a bill’s cosponsors affects the bill’s outcome (specifically, whether or not it passes in the House). We define a notion of influence by analyzing the structure of a network that we construct using cosponsorship dynamics. We award ‘influence’ between a pair of Congress members when they cosponsor a bill that achieves some amount of legislative success. We find that properties of the bill cosponsorship network can be a useful signal to examine influence in Congress; they help explain why some bills pass and others fail. We compare our measure of influence to conventional centrality measures and conclude that our influence measure is more indicative of bill passage.

EPJ Data Science
Santa Fe Institute (US), University of California, Santa Barbara (US), University of California, Los Angeles (US)
Openalex Percentile: Top 9%
Complex Network Analysis Techniques
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A network-based measure of cosponsorship influence on bill passage in the United States House of Representatives — Sanjukta Krishnagopal, Mason Alexander Porter, et al. · EPJ Data Science (2026) | TGRS Research Map | TGRS