- Setup of Twitter credentials (developer acount): login to your twitter account and to http://apps.twitter.com/
- more about limitations https://dev.twitter.com/rest/public/rate-limiting
- We will put scripts and notebooks to make this analysis reproducible
- We are using Pytjon and Tweepy to run analysis
- text content
- entites (user mentions, hashtags, URLs, and media) and places
Create config.py file where you will store your App keys Create .gitignore file and include config.py file there
Visualization.ipynb in code/ invokes a simple scatter plot based on the number of shared followers. It uses Uniform Manifold Approximation and Projection for dimensionality reduction. You can play with the parameters and see what they do.
One expemplary visualization of the communication structure of the Brainhack Twitter network is here.
- https://github.com/mikhailklassen/Mining-the-Social-Web-3rd-Edition
- https://github.com/bonzanini/Book-SocialMediaMiningPython
- NIPS circles http://snap.stanford.edu/data/egonets-Twitter.html
- HIGGS discovery http://snap.stanford.edu/data/higgs/web/twitter-higgs.html
- https://perrystephenson.me/2018/09/29/the-r-twitter-network/
- https://towardsdatascience.com/@shahamfarooq
- https://towardsdatascience.com/information-flow-within-twitter-community-def9e939bb99
- https://towardsdatascience.com/information-flow-within-twitter-community-def9e939bb99
- Daniel: prepare data from json to gephi matrix