You are right. Separate subpopulation s are out of our reach. Apart from following/friendship connection we look at mentions and follow them as well. If a new comer or a man from other population mentions one of the people in our network, his tweet will reach us and we can test him and add as well.
Thank you, I will look at the paper. 2010/7/4 Pascal Jürgens <lists.pascal.juerg...@googlemail.com> > Interesting. Your method is similar to the breadth-first crawl that many > people do (for example, see the academic paper by Kwak et al. 2010). > > You have to keep in mind, however, that you are only crawling the giant > component of the network, the connected part. If there are any turkish users > who have their *separate* subpopulation, which is not connected to the rest, > you won't find those. > > You could easily find those with a sample stream. Although I have to admit > that the number of non-connected users is not so big, no one has really > tested that so far. > > Pascal > > On Jul 3, 2010, at 20:00 , Furkan Kuru wrote: > > We have implemented the Turkish version: Twitturk > http://twitturk.com/home/lang/en > > > We skipped the first three steps but started with a few Turkish users and > crawled all the network and for each new user we tested if the description > or latest tweets are in Turkish language. > > We have almost 100.000 Turkish users identified so far. > > Using stream api we collect their tweets and we find out the popular people > and key-words, top tweets (most retweeted ones) among Turkish people. > > > -- Furkan Kuru
