Here is an example at a larger scale - Explore checkins in Barcelona from the past week, as they were harnessed using a tweet language query triangulation method.
Our research during the next month plans to replicate this process across several cities with signals of affiliation from social media. Our theoretical research pinpointed signals of affinity (likes), appreciation (photos), lingering (check-in), and buzz (twitter volume). By attempting to map several of these on the city grid we are thus mapping the relationships we have with our city as they are reflected in the online public sphere.
Stay tuned this next month for more blog posts documenting our results :-)