Training data for a recommender system of a location based social network

I'm currently developing a location based social network in Ruby on Rails. I also want to include a recommendation system. For testing the algorithms of this recommendations I need some real, anonymous training data. I've found the data from the Netflix Prize, but they are only including .

I'm searching for data that includes

• users
• friendships
• locations or venues
• check-ins (like in foursquare)

Does anybody know a good source for such data? Or a 开发者_开发问答proven algorithm for generating this data? Or any other idea?

Search for random graph generation algorithms (more prciese, "social graph generation") to simulate social graph. Try retrieving the some test geolocation data by Google maps API or similar services. Unfortunately, I don't know what is "check-ins (like in foursquare)".

Also see Free Social Graph Data

I've finally solved it by using the gowalla API. Here you get a lot of information about users, without asking the users to permit the access to their data (kinda strange, but it works).

check it out: http://gowalla.com/api/explorer#/users/sco