Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Ran…

CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.

Simulating epidemics using Python

A simple SIR model in Python

Codes for the paper "A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons"

Development version of phaseR, an R package for phase plane analysis of one- and two-dimensional autonomous ODE systems

Stochastic SIR models; adding age-structures and social contact data for the spread of covid-19. Lattice model for identifying and isolating hotspots. This has been further developed into a network(graph) of multiple clusters(lattices) and tracing the infection in such a population.

MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling

A Mesa-based ABM library for epidemiological (SIR) modeling.

Files related to my Summer of Science Report on Nonlinear Dynamics

A virus simulation for pandemics based on the SIR-network concept.

A GitHub repo for the generation of a network model to represent society with various components, the spread of the disease on this network, and the calculation of reproduction number on these simulation results.

CS302 Modelling and Simulation Weekly Assignments in python based on modelling different systems - SARS, Malaria, SIR

Simulation of a SIR Epidemic process on the Gnutella p2p network on Python

A general framework for quick epidemiological ABM models

Python SIR-x model implementation

tsiR: An R package for time-series Susceptible-Infected-Recovered models of epidemics

Macroeconomic dynamics and reallocation in an epidemic

Homework and exercises from course Network Dynamics and Learning

Official website @ Github with content including COVID-19.