Metadata-Version: 2.1
Name: scicom
Version: 0.0.2
Summary: Simulating various aspects of scientific communication via Agent-based models.
Home-page: https://gitlab.gwdg.de/modelsen/sciencecommunicationmodels
Author: Bernardo S. Buarque, Malte Vogl
Author-email: bsbuarque@mpiwg-berlin.mpg.de, mvogl@mpiwg-berlin.mpg.de
Project-URL: Project Home, https://modelsen.mpiwg-berlin.mpg.de
Project-URL: Bug Tracker, https://gitlab.gwdg.de/modelsen/sciencecommunicationmodels/-/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: all
Provides-Extra: dev
License-File: LICENSE.md
License-File: AUTHORS.rst

## SciCom

Simulating various aspects of scientific communication via Agent-based models.

In this first version, we introduce an agent-based modelling approach to reconstruct communication in
the Republic of Letters.

Documentation is available on [ReadTheDocs](https://scientificcommunication.readthedocs.io).

## Installation

tl;dr Use pip

~~~bash
pip install scicom
~~~

Consider using a clean virtual environment to keep your main packages separated.
Create a new virtual environment and install the package

~~~bash
python3 -m venv env
source env/bin/activate
pip install scicom
~~~


## Testing

Tests can be run by installing the _dev_ requirements and running `tox`.

~~~bash
pip install scicom[dev]
tox
~~~

## Building documentation

The documentation is build using _sphinx_. Install with the _dev_ option and run

~~~bash
pip install scicom[dev]
tox -e docs
~~~

## Funding information

The development is part of the research project [ModelSEN](https://modelsen.mpiwg-berlin.mpg.de)

> Socio-epistemic networks: Modelling Historical Knowledge Processes,

in Department I of the Max Planck Institute for the History of Science
and funded by the Federal Ministry of Education and Research, Germany (Grant No. 01 UG2131).
