It also makes graph inference over TWITTER-US and TWITTER-WORLD tractable, and results in superior Acc@161 and Median, but slightly inferior Mean, compared to the state-of-the-art results of LR, based on text-based classification<cite> (Rahimi et al., 2015)</cite> .