Summary

Find authorities for Twitter topics. Needs to download tweets (fetching stage), then it can compute based on fetched tweets. Requirements:

• the implementation uses mongodb to store downloaded tweets
• see requirements.txt for more, but main packages used are: pymongo, tweepy, scikit-learn, numpy, scipy

See results from datasets included in dump/licenta folder. Results are in .html files in dump/licenta/results/ folder. These results have been obtained with the current code, by using only Retweet Impact and Mention Impact features, see paper/ folder for way more details and how we combined the metrics and analyzed results.

Usage

1. populate mongoDB database with tweets

• use existing tweets in dump/ folder. Import by using the dump/import.sh script like so:
  • have a mongod running instance before running the script
  • run the script from root folder like $ ./dump/import.sh and you're done.
  • verify in mongod that you have successfully imported the data and the features+metrics:

  > db.getCollection("halep").count()  # 2736`
  > db.getCollection("ukraine gas russia").count()  # 16203
  

• or fetch it yourself like say for topic "ukraine gas russia":

# tells it to fetch a maximum of 100 pages x 100 per page => 10,000 tweets.
$ ./main.py fetch "ukraine gas russia" 100

2. after we've added tweets in mongoDB, we can compute authorities for the collected tweets:

# 2nd param should be a valid collection in mongoDB containing tweets.
# should give us the main authorities by processing all tweets from mongo collection "ukraine gas russia".
./main.py compute "ukraine gas russia"