activity
20092026
most citedCausal Network Inference by Optimal Causation Entropy

222 citations · 1.3k across the 45 of their papers we have counts for

collaborators

48 papers

physics.soc-ph2026

Predictability of Human Movements across Industry Sectors using Multilayer Networks

Maisha Islam Sejunti, Melissa Butler, Yingjie Hu +1

Predicting the patterns of human movement is important to applications from urban design to disease control and emergency response. In this work, we leverage machine learning (ML)…

physics.soc-ph2026

Optimality as a Generative Principle for Network Structure

Guram Mikaberidze, Beso Mikaberidze, Dane Taylor

Most real-world networks have evolved or been engineered to optimize some function, yet a unified framework for studying optimal networks across domains is lacking. We introduce Gr…

nlin.AO2026

Hodge Decomposition Guides the Optimization of Synchronization over Simplicial Complexes

Cameron Purple, Per Sebastian Skardal, Dane Taylor

Despite growing interest in synchronization dynamics over "higher-order" network models, optimization theory for such systems is limited. Here, we study a family of Kuramoto models…

nlin.AO2025

Emergent Topology of Optimal Networks for Synchrony

Guram Mikaberidze, Dane Taylor

Designing high-performing networks requires optimizing for functionality while respecting physical, spatial, or budget constraints. Yet, mathematical and computational tools to des…

physics.soc-ph2025

Multilayer networks characterize human-mobility patterns by industry sector for the 2021 Texas winter storm

Melissa Butler, Alisha Khan, Francis Osei Tutu Afrifa +2

Understanding human mobility during disastrous events is crucial for emergency planning and disaster management. We develop a methodology to construct time-varying, multilayer netw…

physics.soc-ph2024★ 4 cited

A Parrondo paradox in susceptible-infectious-susceptible dynamics over periodic temporal networks

Maisha Islam Sejunti, Dane Taylor, Naoki Masuda

Many social and biological networks periodically change over time with daily, weekly, and other cycles. Thus motivated, we formulate and analyze susceptible-infectious-susceptible…