Open mikenutt opened 3 years ago
Assigning a medium priority because I'd like to see this existing work completed. The current state of the notebook needs to be evaluated (e.g., does it run, does the text make sense). Mentions of Flourish and Gephi should probably be deleted?
Transforming data downloaded from Crimson Hexagon into a hashtag network graph. In this hashtag co-occurrence graph, the nodes are the hashtags in the corpus of tweets, and the edges represent co-occurrences of two hashtags in the same tweet.
Resources
python notebook from former Consultant https://github.com/shreyasabu22/Hashtag-Network-Graph
https://trello-attachments.s3.amazonaws.com/5581bcf471e9c010571d7237/5d8c2c75d923b465fa8b9c7c/fe7d59056691e0c7c943e4a08bf7c91f/hashtag_test_5.html