They live in Guangdong (well, many of them do at least):
Some background: Now that I finally got around to playing with Weibo’s API, I’ve been collecting (you might call it hoarding…) a lot of fun data. I’m currently engrossed in this dataset I’ve developed of anti-Japanese comments and I’ve been doing a lot of spatial analysis—all of which is only possible because Weibo neatly provides a wealth of detailed location data included with every post/comment. Whereas Twitter offers whatever location a user supplies (“In your head”; “Your mom’s house”) along with a time zone (geo-coordinates and detailed location info are only available on a tiny percentage of tweets), Weibo’s API neatly gives you every user’s province, city code, and chosen location. The options are selected, not filled-in, so the data is super clean and crisp (well, outside of people who lie about their location).
Thus, seeing as it might be helpful for my other projects to know where Weibo users are blogging from (or at least say they are), I conducted a data expedition, grabbing the latest 200 posts from Weibo every five minutes for one full week. After discarding repeat messages (Weibo’s API doesn’t guarantee the posts are the absolute most recent, though for the most part, the majority of the posts matched my download date-time), I came up with a sample of 283,109 unique users, 236,611 of whom live in mainland China and which I used to generate the map above and chart below (this whole exercise was basically an excuse to show off some of Google’s super easy-to-use Fusion tables and an unnecessary distraction to my thesis writing, sigh).