GitHub - mnussbaum/Twitter-Predictor: Predict topic spread in twitter communities.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 109 Commits
README		README
__init__.py		__init__.py
day_counts.py		day_counts.py
errors.py		errors.py
final_report.pdf		final_report.pdf
get_community.py		get_community.py
hoosier.txt		hoosier.txt
join_by_line.py		join_by_line.py
judge_community.py		judge_community.py
populate.py		populate.py
process_data.py		process_data.py
stats.py		stats.py
trim_joined_results.py		trim_joined_results.py
twitter_net.py		twitter_net.py
twitter_user.py		twitter_user.py
utils.py		utils.py
word_counts.py		word_counts.py

Repository files navigation

Run get_community.py to gather a population of twitter users.

Run process_data.py to get output files appropriate for libsvm regression.

You can download the twitter api library we're using from
http://mike.verdone.ca/twitter/.