Visualization of networked collaboration in digital ecosystems through two-mode network patterns
Author(s) -
Felix Mödritscher,
Wolfgang Taferner,
Ahmet Soylu,
Patrick De Causmaecker
Publication year - 2011
Publication title -
lirias (ku leuven)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2077489.2077519
Subject(s) - visualization , computer science , reflection (computer programming) , mode (computer interface) , human–computer interaction , data visualization , data science , knowledge management , multimedia , artificial intelligence , programming language
Collaboration in digital ecosystems can be very complex due to varying types and possibly large numbers of actors and artifacts, and the many possible interactions between these entities. Hereby, network visualizations can be helpful for supporting cognitive processes, like fostering reflection, enabling awareness in students’ learning, or for visually analyzing networked collaboration. In this paper, we examine different techniques of visualizing ICT-enabled interactions in learner networks. After giving a brief overview of related work, we argue for the application of two-mode networks for visualizing patterns of networked collaboration in digital ecosystems and discuss different issues by comparing this technique to traditional visualizations.status: publishe
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