164 citations · 791 across the 39 of their papers we have counts for
10 papers · 1 filter
Forecasting failure locations in two-dimensional disordered lattices
Estelle Berthier, Mason A. Porter, Karen E. Daniels
Forecasting fracture locations in a progressively failing disordered structure is of paramount importance when considering structural materials. We explore this issue for gradual d…
Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction
Baichuan Yuan, Hao Li, Andrea L. Bertozzi +2
There is often latent network structure in spatial and temporal data and the tools of network analysis can yield fascinating insights into such data. In this paper, we develop a no…
Forecasting elections using compartmental models of infection
Alexandria Volkening, Daniel F. Linder, Mason A. Porter +1
Forecasting elections -- a challenging, high-stakes problem -- is the subject of much uncertainty, subjectivity, and media scrutiny. To shed light on this process, we develop a met…
Topological Data Analysis of Task-Based fMRI Data from Experiments on Schizophrenia
Bernadette J. Stolz, Tegan Emerson, Satu Nahkuri +2
We use methods from computational algebraic topology to study functional brain networks, in which nodes represent brain regions and weighted edges encode the similarity of fMRI tim…
Effect of antipsychotics on community structure in functional brain networks
Ryan Flanagan, Lucas Lacasa, Emma K. Towlson +2
Schizophrenia, a mental disorder that is characterized by abnormal social behavior and failure to distinguish one's own thoughts and ideas from reality, has been associated with st…
Stochastic Block Models are a Discrete Surface Tension
Zachary M. Boyd, Mason A. Porter, Andrea L. Bertozzi
Networks, which represent agents and interactions between them, arise in myriad applications throughout the sciences, engineering, and even the humanities. To understand large-scal…