Centrality anomalies in complex networks as a result of model over-simplification

What is this repository for?

This repository contains the code for the analysis reported in New Journal of Physics 23, 013043.

Disclaimer

Please note that this repository is not intended for wide-spread distribution. We are only making the code available so that other researchers may reproduce the results published in our manuscript.

Directory Structure

• data -- real networks data
• figures/raw_figures -- folder to save
• matlab -- code to generate samples
• notebooks -- contain the notebook to generate the figures
• python -- for python modules/functions
• results/kbs -- folder to save degree, strengh, and betweenness centrality
• samples -- store network ensembles
• scripts -- python code to run on terminal
• spatial_model -- folder with results for spatial model

How to use

$conda create -n anomaly
$conda activate anomaly
$conda config --env --add channels conda-forge
$conda config --env --set channel_priority strict
$conda install python=3.6 networkx=2.4 matplotlib=3.0.3 pandas cartopy geopandas astroml seaborn python-igraph jupyter
$pip install watermark

See further explanations here:

• Generate the ensembles
• Generate SDPASS model data
• Generate the figures

Reference

Luiz G. A. Alves, Alberto Aleta, Francisco A. Rodrigues, Yamir Moreno, Luís A. N. Amaral, Centrality anomalies in complex networks as a result of model over-simplification. New Journal of Physics 23, 013043