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7d1c800490
* Graphs are not saved by default (not backwards compatible) * Modified newsspread examples * More granular options to save results (exporting to CSV and GEXF are now optional) * Updated tutorial to include exporting options * Removed references from environment to simulation * Added parallelism to simulations (can be turned off with a flag or argument). |
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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