Twitter

information cascades analysis for Twitter Network

==== The program is written in python, and includes following components (each file is a component which defines a class):

1. twitterSqlCon.py: interface to the mysql database. responsible for basic simple such as table creation, query; and other extended tasks like cascades retrieve.
2. twitter.py: the main program
3. tree.py: cascade tree

==== Dataset:

the raw data is in active_follower_real_sql.sql, distinct_users_from_search_table_real_main and link_status_search_with_ordering_real.csv. digg.sql is the exported sql file for the whole database which includes three tables:

active_follower_real: following relationship links: tweet weblink users: user profile tweets: raw tweets