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physics.soc-ph2026

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…

physics.soc-ph2026

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…

physics.soc-ph2026

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

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…

physics.soc-ph2024

Ranking Edges by their Impact on the Spectral Complexity of Information Diffusion over Networks

Jeremy Kazimer, Manlio de Domenico, Peter J. Mucha +1

Despite the numerous ways now available to quantify which parts or subsystems of a network are most important, there remains a lack of centrality measures that are related to the c…