Paper Info
Title
Relation Analysis in eLearning
Abstract
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.
Year
DOI
Venue
2008
10.1109/CISIM.2008.36
Ostrava
Keywords
Field
DocType
graph representation,social network,social network field,human activity,different characteristic feature,moodle system,network object,management system moodle,common social network,network research,relation analysis,internet,application software,management information systems,social networks,electronic learning,elearning,industrial relations,distance learning,web pages,computer networks
Data science,Network science,Management information systems,Social network,Web page,Computer science,Artificial intelligence,The Internet,Dynamic network analysis,World Wide Web,Learning Management,Evolving networks,Machine learning
Conference
ISBN
Citations 
PageRank 
978-0-7695-3184-7
3
0.49
References 
Authors
6
4
Name
Order
Citations
PageRank
Jan Martinovic112934.61
Pavla Drazdilova292.40
Katerina Slaninova3112.13
Václav Snasel41261210.53