Tech Reports
Tech Report kmi-02-05 Abstract
Visualization of Dynamic Chat Communication
Techreport ID: kmi-02-05
Date: 2002
Author(s): Ondrej Novak, Marc Eisenstadt, Pavel Slavik
This work is aimed at visualizing the dynamic behaviour of very large communication networks. The visualization of large graphs and networks is a crucial part of many applications, for which typical approaches are too demanding of computational resources. Since one of the most important issues is a visualization of the dynamic behaviour of graphs, special aspects of the visualization of huge graphs with dynamic behaviour are discussed. The paper describes an algorithm that speeds up the visualization of very large graphs and provides fast access to underlying data structures. It provides an adaptive data structure for general dynamic graphs and discusses the adaptation of this structure to very large communication networks. Our method supports several special tools for efficient analysis and evaluation of the graphs representing communication networks.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Social Software is...

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.
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