From the 1 of 6 linked papers with an AI index.
6 papers
Predictability of Human Movements across Industry Sectors using Multilayer Networks
Maisha Islam Sejunti, Melissa Butler, Yingjie Hu +1
The paper evaluates how well human movement across different industry sectors can be predicted using demographic, socioeconomic, and infrastructure data, comparing ten statistical…
GradNet: A Gradient-Based Framework for Optimal Network Science
Guram Mikaberidze, Beso Mikaberidze, Dane Taylor
Network science has traditionally examined how structure determines dynamics. Here we invert this paradigm: we ask how functional dynamics and resource constraints shape network ar…
Emergent Topology of Optimal Networks for Synchrony
Guram Mikaberidze, Dane Taylor
Designing high-performing networks requires optimizing for functionality while respecting physical, geometric, or budget constraints. Yet, mathematical and computational tools to d…
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…
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…
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…