This repository contains the code used for the article Assortative and Preferential Attachent leads to core-periphery networks by Ureña-Carrion, Karimi, Iñiguez and Kivelä.
In our project we show how the combination of two common evolution mechansisms can lead to core-periphery in networks using a growing and a rewiring model. Folder phase_space contains code for reproducing our phase space analysis, while data_fit the code for processing datasets and using maximum-likelihood methods for fitting datasets. Each of these folders contains a README file with instructions. File simulation_model.py contains the script for simulating both growing and rewiring models.
Our implementations use common Python distributions: numpy, networkx, matplotlib, scipy, pandas, itertools.
Distributed under the MIT License. See LICENSE.txt for more information.