Related Experiment Video
Updated: Mar 22, 2026

Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism
Published on: October 17, 2025
Annealed and mean-field formulations of disease dynamics on static and adaptive networks
Beniamino Guerra1, Jesús Gómez-Gardeñes
1Laboratorio sui Sistemi Complessi, Scuola Superiore di Catania, Università di Catania, 95123 Catania, Italy.
Abstract:
We use the annealed formulation of complex networks to study the dynamical behavior of disease spreading on both static and adaptive networked systems. This unifying approach relies on the annealed adjacency matrix, representing one network ensemble, and allows to solve the dynamical evolution of the whole network ensemble all at once. Our results accurately reproduce those obtained by extensive numerical simulations showing a large improvement with respect to the usual heterogeneous mean-field formulation. Moreover, by means of the annealed formulation we derive a new heterogeneous mean-field formulation that correctly reproduces the epidemic dynamics.
More Related Videos
10:44Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
Published on: December 7, 2021
10:45Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
Published on: May 29, 2017
Related Concept Videos
Infectious Diseases and Their Occurrence
Pharmacodynamic Models: Overview
Modeling with Differential Equations
Models of Health Promotion and Illness Prevention II
The agent-host-environment model states that disease results...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Causality in Epidemiology