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Twitter User Segmentation-Analysing the most influential twitter influencers using areas of interest ,popularity score and reach score.

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Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
graphs		graphs
10_twitter_handles.csv		10_twitter_handles.csv
README.md		README.md
inluencers_analysis.ipynb		inluencers_analysis.ipynb
scrapping_notebook.ipynb		scrapping_notebook.ipynb
top_10_influencers.csv		top_10_influencers.csv
top_18_govt_officials.csv		top_18_govt_officials.csv
twitter_challenge.ipynb		twitter_challenge.ipynb

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Twitter_User_Segmentation

Analysing the most influential twitter influencers ,analysing their areas of interest,popularity score and reach score.

The main source of data was from Twitter.After scraping the top 100 most influential users in Africa and top government officials ,I used the twitter API to retrieve tweets for the scraped users as well as other significant metadata

Key Paper (pdf): Measuring User Influence in Twitter: The Million Follower Fallacy
Data Scraping Source
Africa Source
Top 100 most influential users

Here's a link to my report after analysis.

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Twitter User Segmentation-Analysing the most influential twitter influencers using areas of interest ,popularity score and reach score.

twitter influential-users

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