CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
FOCUS: the interactive table for product comparison and selection
Proceedings of the 9th annual ACM symposium on User interface software and technology
An open graph visualization system and its applications to software engineering
Software—Practice & Experience - Special issue on discrete algorithm engineering
Integrating communication and information through ContactMap
Communications of the ACM - Supporting community and building social capital
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
Take a walk and cluster genes: a TSP-based approach to optimal rearrangement clustering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Matrix Zoom: A Visual Interface to Semi-External Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Constructing and reconstructing the reorderable matrix
Information Visualization
Vizster: Visualizing Online Social Networks
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Mat'Graph: transformation matricielle de graphe pour visualiser des échanges électroniques
IHM 2005 Proceedings of the 17th international conference on Francophone sur l'Interaction Homme-Machine
Visually exploring large social networks
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
| Hi-index | 0.00 |
In this article, we present the MatrixExplorer system, aimed at exploring social networks. It has been designed for researchers in social sciences - sociology and history - and is based on an interactive process with multiple views. MatrixExplorer design comes from several interviews with researchers and a participatory design session that helped us assess users need in term of visualization and exploration of social networks. MatrixExplorer provides two representations for graphs: matrices and node-link diagrams. Exploration starts from a matrix representation to preserve readability and provides an iterative process to filter and organize the graph to reveal a structure and abstract it so that it can eventually be visualized as a readable node-link diagram.