Relation Analysis in eLearning

The science of networks is experiencing a rapid expansion. Over the past several years, the disclosure of large amount of information which can be extracted from linked web pages or various Internet-based databases has led to an explosion of network research. This discipline has expanded into the spheres of all human activities. The work is oriented to the social network field. Relations between the objects in common social networks are defined directly. Authors researched a set of the data from the learning management system Moodle. The community obtained has different characteristic features from other common social networks. Every communication and interactions among the students (network objects) is realized through the Moodle system. The authors attempted to find whether in such specific environment can originate any form of social network and whether this network has typical characteristics of social networks. The results are demonstrated using graph representation.