Complex systems 
🦠 SIR simulator
How to use
💻 Compilation
gfortran -o main.x main.f90
📉 Usage
./main.x <filename> <initial_infected_rate> <lambda> <delta> <iterations>
- filename: name of the file containing pairs of connected nodes (string)
- initial infected rate: range 0-1 (float)
- lambda: infection parameter (float)
- delta: recovery parameter (float)
- iterations: total iterations to perform (integer)
🐍 Usage with Python
Additionally, a python interface was developed to interact with the compiled Fortran code. In there, you can use the three existing functions sir_over_time, lambda_dependency and recovery_dependency.
The input arguments are attributes of an object of the classs iInput, which can be modified either on its definition or by setting individual values after the object creation.
The python script will compile and execute the Fortran code using the os library.
🧫 Results
SIR over time
lambda = 0.0015, delta = 0.5, initial infected rate = 0.1 )
| 1.000 nodes net | 50.000 nodes net |
|---|---|
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Lambda dependency
( lambda = 0.0015 to 0.0815, delta = 0.5, initial infected rate = 0.1 )
| 1.000 nodes net | 50.000 nodes net |
|---|---|
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Recovery dependency
( lambda = 0.0015 to 0.0515, delta = 0.5, initial infected rate = 0.1 )
| 1.000 nodes net | 50.000 nodes net |
|---|---|
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