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01cc8e9128
* remove leftover import in example * Update quickstart tutorial * Add gitlab-ci * Added missing gexf for tests * Upgrade to python3.7 and pandas 0.3.4 because pandas has dropped support for python 3.4 -> There are some API changes in pandas, and I've updated the code accordingly. * Set pytest as the default test runner * Update dockerignore * Skip testing long examples (>1000 steps) |
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soil | ||
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LICENSE | ||
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MANIFEST.in | ||
README.md | ||
requirements.txt | ||
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test-requirements.txt |
SOIL
Soil is an extensible and user-friendly Agent-based Social Simulator for Social Networks. Learn how to run your own simulations with our documentation.
Follow our tutorial to develop your own agent models.
If you use Soil in your research, don't forget to cite this paper:
@inbook{soil-gsi-conference-2017,
author = "S{\'a}nchez, Jes{\'u}s M. and Iglesias, Carlos A. and S{\'a}nchez-Rada, J. Fernando",
booktitle = "Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection",
doi = "10.1007/978-3-319-59930-4_19",
editor = "Demazeau Y., Davidsson P., Bajo J., Vale Z.",
isbn = "978-3-319-59929-8",
keywords = "soil;social networks;agent based social simulation;python",
month = "June",
organization = "PAAMS 2017",
pages = "234-245",
publisher = "Springer Verlag",
series = "LNAI",
title = "{S}oil: {A}n {A}gent-{B}ased {S}ocial {S}imulator in {P}ython for {M}odelling and {S}imulation of {S}ocial {N}etworks",
url = "https://link.springer.com/chapter/10.1007/978-3-319-59930-4_19",
volume = "10349",
year = "2017",
}
@Copyright GSI - Universidad Politécnica de Madrid 2017