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Datasets of networks

This is a small list of datasets used during the practicum or assignments of the Networks Science course. It is not intended to be a full repository of datasets. See links at the bottom of this file.

How to download

The easiest way of getting these datasets is to simply clone this entire repository locally in your laptop. That way you will have all the datasets, all the practice handouts, all the slides from theory, etc. Additionally, if any practice or dataset is revised by the course instructors, you can easily obtain the revised version.

If, instead, you want to do this the hard way, you can download from GitHub's web interface in the data/ directory in the repository.

  • For large files, browse to the dataset and click on "Download" (on the top-right corner).
  • For small files, browse to the dataset and click on "Raw" (on the top-right corner) and then "Save as ..." in your browser. If you are in Windows, be careful with the additional extension (usually .text) added by the operating system.

Sources for datasets used in practices

Filename Source
starwars/ Evelina Gabasova 2016
karate-club/ Zachary 1977
reptilia-tortoise/ Sah et al. 2016
marvel-hero.csv Chang et al. 2011
game-of-thrones/ Graph Drawing Contest
flavor-network/ Ahn et al. 2011
CovidLockDownCatalonia.json.gz CrisisNLP Team
webspam-uk2007/ WEBSPAM UK2007
trade-flows/ OECD

Sources for other datasets (used in previous years)

Filename Source
us_companies_ownership.csv Norlen et al. 2002
disease-genes.csv Goh et al. 2008, Table 1
movie_metadata.csv Troung 2016
EstamosPorTi.json.gz Gabriele 2018
Florida-bay-food-web.gml Ulanowicz et al. 1997, Benson et al. 2016
email-eu-core.txt Yin et al. 2017
polblogs.gml + polblogs-leaning.csv Lada Adamic and Natalie Glance 2005
internet-as-20060622.gml Newman 2013
astro-ph.gml Newman 2001
stocks_62_names.txt + stocks_62_pearson.net Latora, Nicosia, and Russo 2017, Chapter 10
les_miserables/ Newman 2006; gender added
sfhh-conference-2009.csv SocioPatterns Project

Repositories of network datasets