GitHub - chrisjryan/social-media-impact-analysis: Analysis of Twitter (& Facebook, eventually) post data to understand what characterizes highly-impactful tweets

Please see:

'analysis.md' for a discussion of the work carried out in this repo
'eda.html' to see an iPython Notebook containing a more raw, exploratory data analysis (HTML preview here).

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
.ipynb_checkpoints		.ipynb_checkpoints
data		data
.gitignore		.gitignore
README.md		README.md
analysis.md		analysis.md
eda.html		eda.html
eda.ipynb		eda.ipynb
get_tweet_info.py		get_tweet_info.py
ipython_notebook_config.py		ipython_notebook_config.py
pl_bar_0retweets.png		pl_bar_0retweets.png
pl_bar_1to5retweets.png		pl_bar_1to5retweets.png
pl_bar_morethan5retweets.png		pl_bar_morethan5retweets.png
pl_stackedbar_morethan5retweets_quantiles.png		pl_stackedbar_morethan5retweets_quantiles.png
retweeter_info_greaterthan5retweets.json		retweeter_info_greaterthan5retweets.json
sq_bar_0retweets.png		sq_bar_0retweets.png
sq_bar_1to5retweets.png		sq_bar_1to5retweets.png
sq_bar_morethan5retweets.png		sq_bar_morethan5retweets.png
sq_stackedbar_morethan5retweets_quantiles.png		sq_stackedbar_morethan5retweets_quantiles.png
summed_followers_hist.png		summed_followers_hist.png
twapi_example.py		twapi_example.py

Provide feedback