Reflexivity in a diffusion of innovations model

Source code for the article "Reflexivity in a diffusion of innovations model" by Carlos Cordoba and Cesar García-Díaz.

Parameters

These are the parameters that control the evolution of the algorithm, and their corresponding variables in the article:

• Network randomness: $r$
• Average number of neighbors: $k$
• Initial proportion (or seed) of adopters: $\delta$
• Coefficient of social influence: $\beta$
• Quality: $q$
• Total number of consumers: $N$
• Activation sharpness: $\phi$
• Critical mass of adopters: $M_{c}$
• Marketing effort: $e_{1}$
• Level: $L$
• Time delay distribution: $f(d)$

How to run this code

1. Install Anaconda
2. Install anaconda-project with conda install anaconda-project.
3. Clone this repository and cd to its root.
4. Run in a system terminal (cmd.exe): anaconda-project run to install its dependencies (this code has only been tested on Windows).
5. Run activate envs\default
6. Set the model parameters for a given run in all_parameters.py.
7. Run python run_analysis.py
8. The results are several plots, a json file with the parameters of simulation and a csv file with the percentage of adopters when reflexivity is activated in the system. All are saved in a Results subdirectory in this same directory.