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J. Fernando Sánchez 9165979b49 merge visualization branch The web server is included as a submodule. The dependencies for the web (tornado) are not installed by default, but they can be installed as an extra: ``` pip install soil[web] ``` Once installed, the soil web can be used like this: ``` soil-web OR python -m soil.web ``` There are other minor changes: * History re-connects to the sqlite database if it is used from a different thread. * Environment accepts additional parameters (so it can run simulations with `visualization_params` or any other in the future). * The simulator class is no longer necessary * Logging is done in the same thread, and the simulation is run in a separate one. This had to be done because it was creating some problems with tornado not being able to find the current thread during logs, which caused hundreds of repeated lines in the web "console". * The player is slightly modified in this version. I noticed that when the visualization was playing, if you clicked somewhere it would change for a second, and then go back to the previous place. The code for the playback seemed too complex, especially speed control, so I rewrote some parts. I might've introduced new bugs.		5 years ago
docs	Improved docs	7 years ago
examples	Added history class	6 years ago
soil	merge visualization branch	5 years ago
tests	Fix state and networkx dynamic attributes	6 years ago
.gitignore	WIP soil	7 years ago
Dockerfile	merge visualization branch	5 years ago
LICENSE	Create LICENSE	8 years ago
MANIFEST.in	WIP soil	7 years ago
README.md	Improved docs	7 years ago
debug.py	WIP soil	7 years ago
docker-compose.yml	merge visualization branch	5 years ago
logo_gsi.png	added logos	7 years ago
logo_gsi.svg	Added GSI logo	7 years ago
requirements.txt	Added history class	6 years ago
setup.py	merge visualization branch	5 years ago
test-requirements.txt	WIP soil	7 years ago

README.md

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",
}