I'm interested in learning to analyze social networks. This paper explains one approach using a small sample size. "This paper presents an approach for capturing the students' profile according to their participation in the courses. The profile is based on SP concepts and SNA metrics, motivated by the large number of data available in the learning environments. Therefore, tutors may use the profiles as a resource to assist in planning their mentoring activities to facilitate the student learning process. In their turn, the students may use this information to self-analysis (or self-assess) their participation in the group. Another contribution of this work is that in a given sample of students and tutors in a particular scenario, in which the students' profiles based on SP and SNA were presented, there was a 93% reliability rate and it showed the potential to help in tutoring. As a technical contribution it is possible to mention the construction of the prototype. In addition, the proposed architecture can be generalized and applied to other social networks."