Twitterlyzer

Github repository: https://github.com/plotti/twitterlyzer

Description

Twitterlyzer is an application that helps researchers to collect Twitter data. It is build using  Rails 2.3.7 and most of the API calls are done through delayed_jobs in order to parallalyze the requests. The Twitter API is wrapped using grackle and twitter gems

• Persons are organized in projects that contain a set of people.

Persons

• collect one person
• collect multiple persons based on a csv import
• collect the egonetwork of a given person
• calculate statistics of the people collected (friends, follower distributions, origin etc..)

Connections between persons

• Connections between persons are stored not in the DB but on the HD in a PStore
• THis allows to extremly fast access millions of edges, instead of going through DB tables

Tweets

• collect the tweets of a person
• collect the tweets of all persons
• collects tweets based on a csv list
• collect all retweets of all collected tweets
• export all tweets into a csv
• calculate statistics on the tweets (links used, keywords, timeline)

Networks

• export the networks of the collected persons in a project the formats UCINET, Gephi
• export the retweet networks of persons
• export the @ networks between persons
• export the person stats
• export the Twitter links of persons

Scraping

• Using scrapers under tasks directory you can scrape the following websites Murack.com, Google, Twellow, Wefollow

Sentiment

• It can compute sentiment for german tweets using a bayesian classifier  (see tasks directory)

Screenshots