A survey on large-population systems and scalable multi-agent reinforcement learning
The analysis and control of large-population systems is of great interest to diverse areas of
research and engineering, ranging from epidemiology over robotic swarms to economics …
research and engineering, ranging from epidemiology over robotic swarms to economics …
Spline tie-decay temporal networks
C Thongprayoon, N Masuda - arXiv preprint arXiv:2408.11913, 2024 - arxiv.org
Increasing amounts of data are available on temporal, or time-varying, networks. There have
been various representations of temporal network data each of which has different …
been various representations of temporal network data each of which has different …
Non-Markovian models of opinion dynamics on temporal networks
Traditional models of opinion dynamics, in which the nodes of a network change their
opinions based on their interactions with neighboring nodes, consider how opinions evolve …
opinions based on their interactions with neighboring nodes, consider how opinions evolve …
Motif-based mean-field approximation of interacting particles on clustered networks
Interacting particles on graphs are routinely used to study magnetic behavior in physics,
disease spread in epidemiology, and opinion dynamics in social sciences. The literature on …
disease spread in epidemiology, and opinion dynamics in social sciences. The literature on …
On evolution PDEs on co-evolving graphs
A Esposito, L Mikolás - arXiv preprint arXiv:2310.10350, 2023 - arxiv.org
We provide a well-posedness theory for a class of nonlocal continuity equations on co-
evolving graphs. We describe the connection among vertices through an edge weight …
evolving graphs. We describe the connection among vertices through an edge weight …
Kinetic equations for processes on co-evolving networks
M Burger - arXiv preprint arXiv:2104.13815, 2021 - arxiv.org
The aim of this paper is to derive macroscopic equations for processes on large co-evolving
networks, examples being opinion polarization with the emergence of filter bubbles or other …
networks, examples being opinion polarization with the emergence of filter bubbles or other …
Opinion dynamics based on social learning theory
D Jiang, Q Dai, H Li, J Yang - The European Physical Journal B, 2024 - Springer
In opinion dynamics, how individuals update their opinions has a profound impact on the
final opinion distribution. Though extensive efforts have been made to explore opinion …
final opinion distribution. Though extensive efforts have been made to explore opinion …
Online landmark replacement for out-of-sample dimensionality reduction methods
C Thongprayoon, N Masuda - arXiv preprint arXiv:2311.12646, 2023 - arxiv.org
A strategy to assist visualization and analysis of large and complex data sets is
dimensionality reduction, with which one maps each data point into a low-dimensional …
dimensionality reduction, with which one maps each data point into a low-dimensional …
A Weighted-Median Model of Opinion Dynamics on Networks
Social interactions influence people's opinions. In some situations, these interactions result
in a consensus opinion; in others, they result in opinion fragmentation and the formation of …
in a consensus opinion; in others, they result in opinion fragmentation and the formation of …
Bounded-confidence opinion models with random-time interactions
In models of opinion dynamics, the opinions of individual agents evolve with time. One type
of opinion model is a bounded-confidence model (BCM), in which opinions take continuous …
of opinion model is a bounded-confidence model (BCM), in which opinions take continuous …