Abstract
This article introduces centrality in covoting networks as a measure of influence. Based on a simple cueing dynamic, it conceptualizes those lawmakers as most central—and thus as having the greatest signaling influence—who impact the greatest number of colleagues' voting decisions. A formal proof and an agent‐based simulation show that cue‐providers are always more central than followers; hence, we can use real‐world voting data to identify the most influential legislators. To confirm the measure's construct validity, we predict covoting centrality in the European Parliament and find those factors that are expected to impact legislators' influence to predict their centrality.