Information visualization in data mining and knowledge discovery
Information visualization in data mining and knowledge discovery
Visualizing Rich, Structured Hypermedia
IEEE Computer Graphics and Applications
gSpan: Graph-Based Substructure Pattern Mining
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Educational complexity: centrality of design and monitoring of the experience
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
Social network analysis for technology-enhanced learning: review and future directions
International Journal of Technology Enhanced Learning
Proceedings of the 9th International Symposium on Open Collaboration
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Collaboration in Digital Ecosystems can be very complex due to varying types and numbers of actors and artifacts, and the many possible interactions between these entities. Hereby, network visualizations are useful for analyzing networked collaboration and consequently for supporting cognitive processes, like fostering reflection, enabling awareness in students' learning. In this paper, we examine different techniques for visualizing ICT-enabled interactions in Digital Ecosystems. After giving a brief overview of related work, we argue for the application of two-mode networks for visualizing patterns of networked collaboration and discuss different issues by comparing this technique to traditional visualizations.