Computer-assisted theory building: modeling dynamic social systems
Computer-assisted theory building: modeling dynamic social systems
Exploratory Social Network Analysis with Pajek
Exploratory Social Network Analysis with Pajek
IEEE Intelligent Systems
Learning Social Networks from Web Documents Using Support Vector Classifiers
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Using Semantic Web Technologies to Analyze Learning Content
IEEE Internet Computing
The Future of Social Networks on the Internet: The Need for Semantics
IEEE Internet Computing
A Divide-and-Conquer Approach to Detecting Latent Community of Practice from Virtual Organizations
ICCIT '07 Proceedings of the 2007 International Conference on Convergence Information Technology
E-Learning meets the Social Semantic Web
ICALT '08 Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies
Towards Semantic Social Networks
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Personality and motivations associated with Facebook use
Computers in Human Behavior
Online social networks in economics
Decision Support Systems
The ties that bind: Social network principles in online communities
Decision Support Systems
Representing, Querying and Transforming Social Networks with RDF/SPARQL
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Computing social networks for information sharing: a case-based approach
OCSC'07 Proceedings of the 2nd international conference on Online communities and social computing
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
SocialBROKER: A collaborative social space for gathering semantically-enhanced financial information
Expert Systems with Applications: An International Journal
e-learning recommender system for learners in online social networks through association retrieval
Proceedings of the CUBE International Information Technology Conference
The QoS-based MCDM system for SaaS ERP applications with Social Network
The Journal of Supercomputing
| Hi-index | 12.05 |
Internet social networks have arisen in the last years as powerful tools where people exchange knowledge and multimedia content. They help to share interests between groups of people with common features. Undoubtedly, there is an inherent social network in any e-learning system, where the main actors are teachers, learners and learning resources. Most e-learning software are mainly focused in content dissemination and group work, but the possibilities that Internet LMSs could offer go further. Recently, there has been research work focused on Web Communities for learning and their formulation as Social Networks. Thus, social network analysis may be applied to infer group structures and to make intelligent recommendation systems and data mining. This paper proposes a method for the formulation and interpretation of learning management platforms as social networks. In order to achieve a major generalization, we develop an ontology to integrate the information from different Learning Management Systems. After that, a personalized social network is extracted from the ontology. This change in the point of view of a LMS could be a challenge to make further studies about learners, teachers and learning resources to obtain a better understanding of their social structure, and therefore to make or improve decisions about the learning process.