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This repository contains code that explores social networks and economics using graph theory principles and data science methods.

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emielsteegh/network-data-science

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A project exploring network data science.

Built in Python 2.7 Jupyter Notebooks

Created by E.G.A.J. Steegh and F.P.J. Nijweide in 2020.

Please open the .pdf file in the main directory for a paper covering the figures generated in 04 - Network Power Laws.


The topics covered:

# What
01 Graphs and Social Networks
02 Information Networks
03 Network Dynamics Population & Structural Models
04 Network Power Laws

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This repository contains code that explores social networks and economics using graph theory principles and data science methods.

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