68 citations · 282 across the 22 of their papers we have counts for
23 papers
Learning dynamics from online-offline systems of LLM agents
Moyi Tian, George Mohler, P. Jeffrey Brantingham +1
Online information is increasingly linked to real-world instability, especially as automated accounts and LLM-based agents help spread and amplify news. In this work, we study how…
Modelling the spillover from online engagement to offline protest: stochastic dynamics and mean-field approximations on networks
Moyi Tian, P. Jeffrey Brantingham, Nancy Rodríguez
Social media is transforming various aspects of offline life, from everyday decisions such as dining choices to the progression of conflicts. In this study, we propose a coupled mo…
Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language Models
Xinyi Leng, Jason Liang, Jack Mauro +8
Narrative data spans all disciplines and provides a coherent model of the world to the reader or viewer. Recent advancement in machine learning and Large Language Models (LLMs) hav…
Optimal policy for control of epidemics with constrained time intervals and region-based interactions
Xia Li, Andrea L. Bertozzi, P. Jeffrey Brantingham +1
We introduce a policy model coupled with the susceptible-infected-recovered (SIR) epidemic model to study interactions between policy-making and the dynamics of epidemics. We consi…
Online network topology shapes personal narratives and hashtag generation
J. Hunter Priniski, Bryce Linford, Sai Krishna +3
While narratives have shaped cognition and cultures for centuries, digital media and online social networks have introduced new narrative phenomena. With increased narrative agency…
GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling
Hritik Bansal, Po-Nien Kung, P. Jeffrey Brantingham +2
Multimodal event argument role labeling (EARL), a task that assigns a role for each event participant (object) in an image is a complex challenge. It requires reasoning over the en…