Example of using DifferentialEquations.jl for SIR model on a graph

SciML / DifferentialEquations.jl

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

https://docs.sciml.ai/DiffEqDocs/stable/

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Example of using DifferentialEquations.jl for SIR model on a graph #583

Closed Omer80 closed 4 years ago

Omer80 commented 4 years ago

Hello, I am now using a Python code for simulating stochastic epidemiological models on graphs, where the nodes are individual people (using networkx). As I understand Julia may be much faster for such computations. Is there anywhere an example to be found on how to build such a model using DifferentialEquations.jl ? (I am quite a beginner in Julia)

ChrisRackauckas commented 4 years ago

@FHell was working on https://github.com/FHell/NetworkDynamics.jl

FHell commented 4 years ago

Thanks for the @ Chris. Hi @Omer80, if you write to me at hellmann[replacethiswithat]pik-potsdam.de I am happy to put you in touch with somebody on our end that can help you implement this in NetworkDynamics.

ChrisRackauckas commented 4 years ago

Closing since there's not much for me to act on here, but good luck on your modeling journey.