activity
20192025
most citedThresholding normally distributed data creates complex networks

35 citations · 39 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CY2025

The Iceberg Index: Measuring Skills-centered Exposure in the AI Economy

Ayush Chopra, Santanu Bhattacharya, DeAndrea Salvador +7

Artificial Intelligence is reshaping America's $9.4 trillion labor market, with cascading effects that extend far beyond visible technology sectors. When AI transforms quality con…

physics.soc-ph2024

Planned behavior, perceptual biases, and the dynamics of collective action

Alice C Schwarze, Mari Kawakatsu, Sarah Iams +2

Many classical models of collective behavior assume that emergent dynamics result from external and observable interactions among individuals. However, how collective dynamics in h…

physics.soc-ph2024★ 4 cited

Structural Robustness and Vulnerability of Networks

Alice C. Schwarze, Jessica Jiang, Jonny Wray +1

Networks are useful descriptions of the structure of many complex systems. Unsurprisingly, it is thus important to analyze the robustness of networks in many scientific disciplines…

stat.ML2022

Network inference via process motifs for lagged correlation in linear stochastic processes

Alice C. Schwarze, Sara M. Ichinaga, Bingni W. Brunton

A major challenge for causal inference from time-series data is the trade-off between computational feasibility and accuracy. Motivated by process motifs for lagged covariance in a…

eess.SY2022

Neural-inspired Measurement Observability

Burak Boyacıoğlu, Alice C. Schwarze, Bingni W. Brunton +1

The neural encoding by biological sensors of flying insects, which prefilters stimulus data before sending it to the central nervous system in the form of voltage spikes, enables s…

physics.soc-ph2020

Motifs for processes on networks

Alice C. Schwarze, Mason A. Porter

The study of motifs in networks can help researchers uncover links between the structure and function of networks in biology, sociology, economics, and many other areas. Empirical…

cs.SI2019★ 35 cited

Thresholding normally distributed data creates complex networks

George T. Cantwell, Yanchen Liu, Benjamin F. Maier +4

Network data sets are often constructed by some kind of thresholding procedure. The resulting networks frequently possess properties such as heavy-tailed degree distributions, clus…

math.PR2019

Log-minor distributions and an application to estimating mean subsystem entropy

Alice C. Schwarze, Philip S. Chodrow, Mason A. Porter

A common task in physics, information theory, and other fields is the analysis of properties of subsystems of a given system. Given the covariance matrix of a system of cou…