Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We explore two complementary approaches to counterfactual analysis in an empirical ATM network example with multiple equilibria. First we simply enumerate and compare the possible equilibria. Second, we examine how different learning algorithms select among them.