Hello dear R members. I just came across this website: http://giladlotan.org/viz/iranelection/
Here what it is about: > ReTweet Revolution is a visual exploration of the most popular conversation > threads that were passed amongst Twitter users at the time of the events > following the Iranian elections in June of 2009. It uses an algorithm described here: http://giladlotan.org/viz/iranelection/methodology.html > A very simple rundown of my analysis process: > 1. Public Timeline Polling - During the period of the #iranelection events, > my I would poll Twitter's public timeline, looking for keywords such as > "#iranelection","#gr88","ahmadinejad","mousavi". > 2. Text Matching Algorithm - as new tweets entered my database, making > matches between those that belong to the same conversational thread. > 3. ReTweet analysis - mapping out the network structure by which messages > spread between users. > 4. Text differentiation analysis - looking at syntactical differences > between tweets from within each thread. This highlights the "broken > telephone" aspect of ReTweeting, where every user can choose to change and > add to the message as it is passed onwards. > *more to come* And I would love to be able to do something even similar to what he does (simply because it is cool). They way I see it it requires several steps into making this happen, including: 1) a way to pull and store data from twitter 2) a way to extract the data from the database 3) tools to analyse and visualize the data (this, I imagine, can be done using the "tm" package, the rest I don't know how to approach) Can any one give interesting pointers on this one ? Thanks, Tal -- ---------------------------------------------- My contact information: Tal Galili Phone number: 972-50-3373767 FaceBook: Tal Galili My Blogs: http://www.r-statistics.com/ http://www.talgalili.com http://www.biostatistics.co.il [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
