Social network analysis in the m-learning service

This paper discusses essentially how we can build different learning strategies based on the social behavior of social networks users and offer each category of users the best learning experience. The grouping of people isn´t an easy process. Nevertheless we gathered them by some similarities on their profile. In order to classify the users, we used clustering methodologies. Subsequently we recognized the new profiles using a neural network, and finally assigned a learning strategy to each user using pedagogical and social studies.