This paper describes the implementation of a framework for the construction and utilization of social networks in ELearning. These social networks aim to enhance collaboration between all E-Learning participants (i.e. both traineeto-trainee and trainee-to-tutor communication are targeted). E-Learning systems that include a so-called "social component," i.e. enable forming links between trainees and tutors, thereby creating a social network, already do exist; however, sophisticated networking approaches are lacking in these systems. Indeed at the present time, E-Learning systems containing social components do not automatically take into account the results of social network analysis (SNA) of a specific dataset of trainees and tutors; neither do they take into account the knowledge level of the trainees according to their learning progress and/or test results. Furthermore, potential ontological relations between the network of participants and their knowledge--for the purpose of interlinking the participants--are, unfortunately, commonly ignored. Therefore we have created a framework that makes use of the results of SNA concerning the implicit and explicit social networks of E-Learning participants, and their learning outcome, as well as taking into account the relationships between learning and learners' ontology. The implementation of this framework results in E-Learning system modules that support special dedicated learning (tutored) groups of trainees gathered around the tutor, and peer-to-peer links between trainees that encourage them to help each other during the learning process.