36 citations · 90 across the 8 of their papers we have counts for
8 papers
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…
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…
Temporal scaling theory for bursty time series with clusters of arbitrarily many events
Hang-Hyun Jo, Tibebe Birhanu, Naoki Masuda
Long-term temporal correlations in time series in a form of an event sequence have been characterized using an autocorrelation function (ACF) that often shows a power-law decaying…
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…
To Trust or Not to Trust: Evolutionary Dynamics of an Asymmetric N-player Trust Game
Ik Soo Lim, Naoki Masuda
Trusting others and reciprocating the received trust with trustworthy actions are fundaments of economic and social interactions. The trust game (TG) is widely used for studying tr…
Reliability of energy landscape analysis of resting-state functional MRI data
Pitambar Khanra, Johan Nakuci, Sarah Muldoon +2
Energy landscape analysis is a data-driven method to analyze multidimensional time series, including functional magnetic resonance imaging (fMRI) data. It has been shown to be a us…
Cooperation and the social brain hypothesis in primate social networks
Neil G. MacLaren, Lingqi Meng, Melissa Collier +1
The social brain hypothesis states that the relative size of the neocortex is larger for species with higher social complexity as a result of evolution. Various lines of empirical…
Biases in Inverse Ising Estimates of Near-Critical Behaviour
Maximilian Benedikt Kloucek, Thomas Machon, Shogo Kajimura +3
Inverse Ising inference allows pairwise interactions of complex binary systems to be reconstructed from empirical correlations. Typical estimators used for this inference, such as…