In this paper we propose an improved E-Learning Social Network Exploiting Approach based on clustering algorithm and graph model, which can automatically group distributed e-learners with similar interests and make proper recommendations, which can finally enhance the collaborative learning among similar elearners. Through similarity discovery, trust weights update and potential friends adjustment, the algorithm implements an automatic adapted trust relationship with gradually enhanced satisfactions. | International Journal of Computer Networks and Communications Security C VOL. 2, NO. 3, MARCH 2014, 102–108 Available online at: ISSN 2308-9830 N C S Adaptive E-Learning System Based On Learning Interactivity Mohammed Yaqub1, A. M. Raid2, Haitham A. EL-Ghareeb3 1 Information Systems Department, Faculty of Computers and Information Sciences, Mansoura University, Egypt 2, 3 Faculty of Computers and Information Sciences, Mansoura University, Egypt E-mail: 1yaqubmoha@gmailcom, 2amriad2000@, 3helghareeb@ ABSTRACT In this paper we propose an improved E-Learning Social Network Exploiting Approach based on clustering algorithm and graph model, which can automatically group distributed e-learners with similar interests and make proper recommendations, which can finally enhance the collaborative learning among similar elearners. Through similarity discovery, trust weights update and potential friends adjustment, the algorithm implements an automatic adapted trust relationship with gradually enhanced satisfactions. Keywords: Social Network, E-learning, Collaborative Learning, Relations, Clustering and Adpative Elearning. 1 INTRODUCTION Learning is an active transaction between people as one person teaches and another learns . It is a shared experience because students explore new areas of knowledge together in such a way as to create a common core and concepts. Moreover, it is a common experience as student sacquire the same intellectual perspectives of certain learning areas. A social network approach to learning becomes important as it provides methods and measures to assess what is exchanged, shared, delivered and received among members of a network. It also makes possible to examine outcomes such as interpersonal ties, comprise learning relationships. Conducting effective eLearning in the age of Social Media is not without its problems. E-learning has emerged as an answer to provide freedom for learners from the highly .
