466 citations · 732 across the 25 of their papers we have counts for
9 papers · 1 filter
Sensitivity of collective outcomes identifies pivotal components
Edward D. Lee, Daniel M. Katz, Michael J. Bommarito +1
A social system is susceptible to perturbation when its collective properties depend sensitively on a few pivotal components. Using the information geometry of minimal models from…
Crowdsourcing accurately and robustly predicts Supreme Court decisions
Daniel Martin Katz, Michael James Bommarito, Josh Blackman
Scholars have increasingly investigated "crowdsourcing" as an alternative to expert-based judgment or purely data-driven approaches to predicting the future. Under certain conditio…
A General Approach for Predicting the Behavior of the Supreme Court of the United States
Daniel Martin Katz, Michael J Bommarito, Josh Blackman
Building on developments in machine learning and prior work in the science of judicial prediction, we construct a model designed to predict the behavior of the Supreme Court of the…
Measuring the temperature and diversity of the U.S. regulatory ecosystem
Michael J Bommarito, Daniel Martin Katz
Over the last 23 years, the U.S. Securities and Exchange Commission has required over 34,000 companies to file over 165,000 annual reports. These reports, the so-called "Form 10-Ks…
Law on the Market? Abnormal Stock Returns and Supreme Court Decision-Making
Daniel Martin Katz, Michael J Bommarito, Tyler Soellinger +1
What happens when the Supreme Court of the United States decides a case impacting one or more publicly-traded firms? While many have observed anecdotal evidence linking decisions o…
Predicting the Behavior of the Supreme Court of the United States: A General Approach
Daniel Martin Katz, Michael J Bommarito, Josh Blackman
Building upon developments in theoretical and applied machine learning, as well as the efforts of various scholars including Guimera and Sales-Pardo (2011), Ruger et al. (2004), an…
Properties of the United States Code Citation Network
Michael J. Bommarito, Daniel Martin Katz
The United States Code (Code) is an important source of Federal law that is produced by the interactions of many heterogeneous actors in a complex, dynamic space. The Code can be r…
Distance Measures for Dynamic Citation Networks
Michael J. Bommarito, Daniel Martin Katz, Jon Zelner +1
Acyclic digraphs arise in many natural and artificial processes. Among the broader set, dynamic citation networks represent a substantively important form of acyclic digraphs. For…
On the Stability of Community Detection Algorithms on Longitudinal Citation Data
Michael James Bommarito, Daniel Martin Katz, Jon Zelner
There are fundamental differences between citation networks and other classes of graphs. In particular, given that citation networks are directed and acyclic, methods developed pri…