Seeder finder
Nick Gramsky, Hanan Samet · 2013
TwitterStand is a novel way to track the news cycle by allowing people to view and browse the news with a map query interface. TF-IDF scores for each document that is linked to by a tweet (also termed twanchor [22] when the document is a news article) are calculated after they enter the system and pass initial classification filters. These scores are used to cluster similar tweets. Clusters must contain tweets from reputable sources in order for the clusters to form. These reputable sources are known as seeders as they essentially seed a cluster. Seeders have become an integral part of the TwitterStand architecture. An optimal system monitors the set of seeders in order to find newsworthy tweets quickly.