The twitter explorer helps computational social scientists to:
Collect Twitter data by providing a visual interface for the Twitter Search API.
Transform the collected data into networks: retweet networks capturing the interaction between users and hashtag networks revealing the semantic layer of the debate.
Explore these networks interactively by using state-of-the-art network visualizations.
The twitter explorer requires Python ≥ 3.6. If you meet this requirement, open a terminal in your preferred folder to clone the repo and install the required libraries:
$ git clone firstname.lastname@example.org:pournaki/testrepo-.git $ pip3 install -r requirements.txt
You can now run the collector and the visualizer:
$ streamlit run collector.py $ streamlit run visualizer.py
They will open in a new window and instructions will follow.
Please refer to the documentation for detailed installation instructions and how to use the twitter explorer.
The twitter explorer facilitates the collection of data through the Twitter Search API. Please respect the developer agreement when handling the collected data. Our interface includes a privacy option that allows to remove all accessible metadata of users that have less than 5000 followers (no public figures) from the interactive visualization in order to comply with current privacy standards. By only displaying tweets that still exist at the time of exploration, the interface complies with Twitter's display requirements.
- Add progress bar for collector
- Incorporate dynamics of the retweet networks
- Add different graph measures
How to cite
Please cite our paper if you use the twitter explorer in your research:
Pournaki, A., Gaisbauer, F., Banisch, S., Olbrich, E., The twitter explorer: a framework for observing Twitter through interactive networks.
A powerful tool for streaming real-time tweets and storing them in an SQL database
A CLI for Twitter search/streaming API
The idea for the twitter explorer originated from fruitful discussions in the context of the Odycceus project between Armin Pournaki, Felix Gaisbauer, Sven Banisch and Eckehard Olbrich. The tool is designed and developed by Armin Pournaki.
The twitter explorer stands on the shoulders of giants:
The frontends of the collector and visualizer are made with Streamlit, a powerful and easily accessible tool to create interactive Python applications.
The interactive graph visualization relies on the force-graph library.
All the graph operations in the twitter explorer are handled by the Python version of igraph.
An easy-to-use Python wrapper for Twitter API.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732942.
The twitter explorer is licensed under the GNU GPLV3 license.