Network from Wikipedia

to_graphml.py may be used to constructing a network from wikipedia pages. This script is based on Colab from ivanovitchm/network_analysis (Week 07 Directed networks: case study of Wikipedia pages). Output file example here.

The snowballing process will be initialized from your source argument.

"When you start the snowballing, you will eventually (and quite soon) bump into the pages describing ISBN and ISSN numbers, the arXiv, PubMed, and the like. Almost all other Wikipedia pages refer to one or more of those pages. This hyper-connectedness transforms any network into a collection of almost perfect gigantic stars, making all Wikipedia-based networks look similar. To avoid the stardom syndrome, treat the known 'star' pages as stop words in information retrieval—in other words, ignore any links to them. Constructing the black list of stop words, STOPS, is a matter of trial and error. We put thirteen subjects on it; you may want to add more when you come across other “stars.” We also excluded pages whose names begin with "List of", because they are simply lists of other subjects." - Ivanovitch's jupyter notebook

You can change the STOPS words in constants.py.

Examples of use

• Javier Barriuso (Barri) - Graphs of the different leaders of each political party in Argentina.

Requirements

The script is written in Python. Dependant packages can be installed via:

pip install -r requirements.txt

How to run

Run to_graphml.py providing:

Argument	Required	Description	Default value
-s --source	Yes	Url or title from Wikipedia.	-
-d --degree	No	Number of degree that will be used in the filter of nodes. Equal to or greater than this value.	2
-l --layers	No	Number of search layers.	2
-o --output	No	Output filename.	'output'
-v --verbose	No	Increase output verbosity.	False

Examples

Basic usage:

python3 to_graphml.py --source='Complex network'
# Or (tested only on `en.wikipedia`)
python3 to_graphml.py --source='https://en.wikipedia.org/wiki/Complex_network'

Verbose mode:

python3 to_graphml.py --source='Complex network' --verbose

Search deeper, filtering by more degree and changing the output file:

python3 to_graphml.py --source='Complex network' --layers=5 --degree=10 --output=graph_5l_10d
# The output file is `graph_5l_10d.graphml`

Contributing

Contributions are more than welcome. Fork, improve and make a pull request. For bugs, ideas for improvement or other, please create an issue.

License

This project is licensed under the GNU Affero General Public License - see the LICENSE.md file for details.