Evaluate learning communities in the online social media

Nowadays, Facebook is considered like an online learning tool. It is an integral part of users' daily routine, whether teachers or learners. The idea of this article is to evaluate learners by communities in Facebook groups based on their interactions via comments and like. In order to achieve our goal, we will proceed in two steps, the first one consists to implement two community detection algorithms (ForceAtlas2 and Louvian Blondel), and in the second step we will calculate three measures of centrality (degree, closeness, betweenness) of the Social Learning Analytics process (SLA) to identify communities at-risk.