#longitudinal data

The Increasingly Negative Partisanship of Republican Elites We develop a broadly applicable class of coevolving latent space network with attractors (CLSNA) models. We apply the CLSNA to understand the dynamics of partisan polarization on social media, where we expect Republicans and Democrats to increasingly interact with their own party and disengage with the opposing party. Our analysis confirms the existence of partisan polarization in social media interactions among both political elites and the public. Moreover, while positive partisanship is the driving force of interactions across the full periods of study for both the public and Democratic elites, negative partisanship has come to dominate Republican elites’ interactions since the run-up to the 2016 presidential election.

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Interest Group Network Dynamics A dynamic network of amicus curiae brief cosigners across 50 years. Nodes refer to organizations with cosigning ties drawn for each time period. Node size is proportional to degree in the first time period. Node color refers to the SIC division with darker colors indicating higher divisions. Graph layout algorithm is GV’s Neato. Interest group relationships are both created and dissolved over time. A separable temporal exponential random graph model (STERGM) shows that the number ofpartners is important for formation but not dissolution, while industrial homophilyhelps both to make and maintain connections.

SuperPACs & Presidential Nominations This figure illustrates where candidate organizations and Super PACs spent their money in the 2012 nomination contest. The comparative spending numbers are for state contests receiving the largest amounts of either candidate or PAC spending (for and against the three candidates that lasted the longest: Romney, Santorum and Gingrich). The primary schedule is used to order the states left to right.