基于网络的共同提案影响力衡量对美国众议院法案通过的影响
A Network-Based Measure of Cosponsorship Influence on Bill Passing in the United States House of Representatives
AI总结：
通过分析共同提案网络结构定义影响力指标，发现该指标比传统中心性指标更能预测法案是否通过。
摘要：
每年，美国国会审议数千项立法提案，以选择提交总统签署成为法律的法案。自然，国会议员的决策过程受到同僚影响。本文研究了美国众议院议员之间累积影响力对法案通过的影响。我们探讨法案共同提案人的影响力如何影响法案结果（具体而言，是否在众议院通过）。通过分析利用共同提案动态构建的网络结构，我们定义了影响力的概念。当一对议员共同提案一项取得一定立法成功的法案时，我们授予他们之间“影响力”。我们发现，法案共同提案网络的特征可以作为考察国会影响力的有用信号；它们有助于解释为什么一些法案通过而另一些失败。我们将我们的影响力衡量指标与现成的中心性指标进行比较，并得出结论：我们的影响力指标更能预示法案的通过。
英文摘要：
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 off-the-shelf centrality measures and conclude that our influence measure is more indicative of bill passage.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
