Interpreting and analyzing a location-based social network by fuzzy formal contexts

Formal Concept Analysis (FCA) is a mathematical tool for data analysis. In this work, we present a study on the application of FCA to databases obtained from location-base social networks. From FCA we can identify the schedule and the interest places, such as the working hours and days, eating hours, etc. As a consequence, using the user's timetable, we can recommend him/her the most probable interesting places in every moment.