4 citations · 7 across the 11 of their papers we have counts for
13 papers
Early warning signals for synchronization transitions from partial observations
Yusuke Kato, Naoki Masuda
Anticipating the onset of collective synchronization is important in many networked systems, yet observing every oscillator is often impractical. We investigate whether synchroniza…
Transferable reconstruction of nonlinear network dynamics from sentinel nodes
Naoki Masuda, Bisna Mary Eldo, Tharusha Bandara
Reconstructing the state of a large networked system from measurements at only a few nodes is a challenge for monitoring, prediction, and intervention. Here we ask whether such rec…
A theory of spatial early warning signals for tipping points on complex networks
Naoki Masuda
Spatial early warning signals (EWSs) seek evidence of an approaching tipping point from a single snapshot of many interacting elements. Existing theory largely assumes spatial homo…
Baseline-referenced spatial early warning signals for tipping points on heterogeneous networks
Tharusha Bandara, Shilong Yu, Naoki Masuda
Anticipating tipping points in complex systems is difficult because many early warning signals require long time series, which are often unavailable in practice. Spatial early warn…
Detecting and forecasting tipping points from sample variance alone
Naoki Masuda
Anticipating tipping points in complex systems is a fundamental challenge across domains. Traditional early warning signals (EWSs) based on critical slowing down, such as increasin…
Using covariance of node states to design early warning signals for network dynamics
Shilong Yu, Neil G. MacLaren, Naoki Masuda
Real-life systems often experience regime shifts. An early warning signal (EWS) is a quantity that attempts to anticipate such a regime shift. Because complex systems of practical…
Dimensional reduction of dynamical systems on graphons
Bisna Mary Eldo, Sarbendu Rakshit, Naoki Masuda
Dynamical systems on networks are inherently high-dimensional unless the number of nodes is extremely small. Dimension reduction methods for dynamical systems on networks aim to fi…
Scalar embedding of temporal network trajectories
Lucas Lacasa, F. Javier Marín-Rodríguez, Naoki Masuda +1
A temporal network -- a collection of snapshots recording the evolution of a network whose links appear and disappear dynamically -- can be interpreted as a trajectory in graph spa…
To Be a Truster or Not to Be: Evolutionary Dynamics of a Symmetric N-Player Trust Game in Well-Mixed and Networked Populations
Ik Soo Lim, Naoki Masuda
Trust and reciprocation of it form the foundation of economic, social and other interactions. While the Trust Game is widely used to study these concepts for interactions between t…
Applicability of spatial early warning signals to complex network dynamics
Neil G. MacLaren, Kazuyuki Aihara, Naoki Masuda
Early warning signals (EWSs) for complex dynamical systems aim to anticipate tipping points before they occur. While signals computed from time series data, such as temporal varian…
Observing network dynamics through sentinel nodes
Neil G. MacLaren, Baruch Barzel, Naoki Masuda
A fundamental premise of statistical physics is that the particles in a physical system are interchangeable, and hence the state of each specific component is representative of the…
Network Analysis of U.S. Non-Fatal Opioid-Involved Overdose Journeys, 2018-2023
Lucas H. McCabe, Naoki Masuda, Shannon Casillas +3
We present a nation-wide network analysis of non-fatal opioid-involved overdose journeys in the United States. Leveraging a unique proprietary dataset of Emergency Medical Services…
Temporal networks provide a unifying understanding of the evolution of cooperation
Aming Li, Yao Meng, Lei Zhou +2
Understanding the evolution of cooperation in structured populations represented by networks is a problem of long research interest, and a most fundamental and widespread property…