7 ms·
Mining Twitter follower network of 36 million users
- citricsquid 15y agowhy is the com in the title of this post in capitals, when it links to lowercase .com and the site has no redirect to .COM in place.
- aksbhat 15y agoI made a mistake in typing the url.
- samratjp 15y agoThis is really cool stuff! Did you come across any interesting retweeters and spam rings?
- buza 15y agoI'm curious about how these classifications were done. I graduated from the MIT Media Lab a few years back, and after looking through the result set titled: "A small community of users associated with MIT Media lab detected using the algorithm after 7th iteration" I saw a handful of MIT undergrads listed, many of which I'm certain had no affiliation with the Media lab, while nearly all of the others I do not recognize, even as an active Twitter user. I chose two random entries from this list: 'RFheargaile' and 'realduedate', and found both to be of extremely dubious authenticity.
- aksbhat 15y agoI agree they are not very high confidence classifications. Due to random nature of the algorithm, It is very hard to correctly label a community. Also since for most users explicit permission to follow is not required which leads to dubious/spam users. Since the data was collected in June 2009, it is possible that a lot of users might have blocked spam profiles from following them. I guess I need to clarify this point.