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physics.soc-ph2024
Autocorrelation properties of temporal networks governed by dynamic node variables
Harrison Hartle, Naoki Masuda
We study synthetic temporal networks whose evolution is determined by stochastically evolving node variables - synthetic analogues of, e.g., temporal proximity networks of mobile a…
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-ph2023
Introduction to correlation networks: Interdisciplinary approaches beyond thresholding
Naoki Masuda, Zachary M. Boyd, Diego Garlaschelli +1
Many empirical networks originate from correlational data, arising in domains as diverse as psychology, neuroscience, genomics, microbiology, finance, and climate science. Speciali…