Likelihood-based methods improve parameter estimation in opinion dynamics models
We show that a maximum likelihood approach for parameter estimation in agent-based
models (ABMs) of opinion dynamics outperforms the typical simulation-based approach …
models (ABMs) of opinion dynamics outperforms the typical simulation-based approach …
Binary opinion dynamics on signed networks based on Ising model
The evolution dynamics of public opinion is a hot issue in complex networks research. And
the Ising model is the earliest classic dynamic model of public opinion. Although signed …
the Ising model is the earliest classic dynamic model of public opinion. Although signed …
Optimizing transportation dynamics at a city-scale using a reinforcement learning framework
Urban planners, authorities, and numerous additional players have to deal with challenges
related to the rapid urbanization process and its effect on human mobility and transport …
related to the rapid urbanization process and its effect on human mobility and transport …
PocketCare: Tracking the flu with mobile phones using partial observations of proximity and symptoms
Mobile phones provide a powerful sensing platform that researchers may adopt to
understand proximity interactions among people and the diffusion, through these …
understand proximity interactions among people and the diffusion, through these …
Optimal control of complex systems through variational inference with a discrete event decision process
Complex social systems are composed of interconnected individuals whose interactions
result in group behaviors. Optimal control of a real-world complex system has many …
result in group behaviors. Optimal control of a real-world complex system has many …
Predicting and optimizing city-scale road traffic dynamics using trajectories of individual vehicles
F Yang, A Vereshchaka, W Dong - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Internet of Things and mobile crowdsensing provide an unprecedented opportunity to collect
big data that continuously track the dynamics of large populations. One very important …
big data that continuously track the dynamics of large populations. One very important …
Expectation propagation with stochastic kinetic model in complex interaction systems
Technological breakthroughs allow us to collect data with increasing spatio-temporal
resolution from complex interaction systems. The combination of high-resolution …
resolution from complex interaction systems. The combination of high-resolution …
Optimizing city-scale traffic through modeling observations of vehicle movements
F Yang, A Vereshchaka, B Lepri… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The capability of traffic-information systems to sense the movement of millions of users and
offer trip plans through mobile phones has enabled a new way of optimizing city traffic …
offer trip plans through mobile phones has enabled a new way of optimizing city traffic …
[PDF][PDF] Optimal control in partially observable complex social systems
We live in a world full of complex social systems. Achieving optimal control in a complex
social system is challenging due to the difficulty in modeling and optimization. To capture the …
social system is challenging due to the difficulty in modeling and optimization. To capture the …
The Dynamics of Two-State Public Opinion Propagation On Signed Networks
Y Gao, Y Fan, Z Di - Journal of Systems Science and Complexity, 2021 - Springer
The formation of public opinion on the network is a hot issue in the field of complex network
research, and some classical dynamic models are used to solve this problem. The signed …
research, and some classical dynamic models are used to solve this problem. The signed …