DD-CSS

Data-driven Computational Social Science

DD-CSS is an effort to build new computational tools to help collect and analyze social media data. It is powered by Flask, a highly modular microframework for Python, to encourage other developers to contribute to this project.

There is a growing interest in mining the social web by so many professions for different purposes. So, while many parties may benefit from DD-CSS, our primary target is computational social scientists. We would like you to import your collection & analysis methods into DD-CSS especially if you are publishing in social computing conferences.

Features

Twitter

• Obtain an OAuth access token on behalf of a Twitter user
• Get the friends/followers list of a user as JSON/CSV file
• Get last 3200 tweets of a user in JSON/CSV format

Facebook

• Obtain an OAuth access token on behalf of a Facebook user
• Get the number of shares of a url

Installation

MongoDB

• db.queries.ensureIndex({username:1, created_time:1, qname:1})

Built With

• flask
• mongodb
• python
• sql
• web