56 Pages Posted: 21 Jul 2009 Last revised: 26 Jul 2011
Date Written: July 20, 2009
We measure polarization in the United States Congress using the network science concept of modularity. Modularity provides a conceptually-clear measure of polarization that reveals both the number of relevant groups and the strength of inter-group divisions without making restrictive assumptions about the structure of the party system or the shape of legislator utilities. We show that party influence on Congressional blocs varies widely throughout history, and that existing measures underestimate polarization in periods with weak party structures. We demonstrate that modularity is a significant predictor of changes in majority party and that turnover is more prevalent at medium levels of modularity. We show that two variables related to modularity, called `divisiveness' and `solidarity,' are significant predictors of reelection success for individual House members. Our results suggest that modularity can serve as an early warning of changing group dynamics, which are reflected only later by changes in party labels.
Keywords: modularity, congress, networks, polarization, parties, ideology, community detection, roll-call
Suggested Citation: Suggested Citation
Waugh, Andrew Scott and Pei, Liuyi and Fowler, James H. and Mucha, Peter J. and Porter, Mason Alexander, Party Polarization in Congress: A Network Science Approach (July 20, 2009). Forthcoming. Available at SSRN: https://ssrn.com/abstract=1437055