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

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.

• 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

$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

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