N
Nathalie Henry
Researcher at University of Sydney
Publications - 20
Citations - 2077
Nathalie Henry is an academic researcher from University of Sydney. The author has contributed to research in topics: Graph drawing & Graph (abstract data type). The author has an hindex of 11, co-authored 20 publications receiving 1915 citations. Previous affiliations of Nathalie Henry include French Institute for Research in Computer Science and Automation & University of Paris-Sud.
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Journal ArticleDOI
NodeTrix: a Hybrid Visualization of Social Networks
TL;DR: NodeTrix is presented, a hybrid representation for networks that combines the advantages of two traditional representations: node-link diagrams are used to show the global structure of a network, while arbitrary portions of the network can be shown as adjacency matrices to better support the analysis of communities.
Proceedings ArticleDOI
Task taxonomy for graph visualization
TL;DR: A list of tasks commonly encountered while analyzing graph data is suggested and it is demonstrated how all complex tasks could be seen as a series of low-level tasks performed on those objects.
Journal ArticleDOI
MatrixExplorer: a Dual-Representation System to Explore Social Networks
TL;DR: Network visualization system that uses two representations: node-link diagrams and matrices that provides tools to reorder (layout) matrices, to annotate and compare findings across different layouts and find consensus among several clusterings.
Proceedings ArticleDOI
ZAME: Interactive Large-Scale Graph Visualization
TL;DR: Using ZAME, the zoomable adjacency matrix explorer (ZAME), a visualization tool for exploring graphs at a scale of millions of nodes and edges, the entire French Wikipedia is explored with interactive performance on standard consumer-level computer hardware.
Book ChapterDOI
MatLink: enhanced matrix visualization for analyzing social networks
TL;DR: This article presents MatLink, a hybrid representation with links overlaid on the borders of a matrix and dynamic topological feedback as the pointer moves that showed significant advantages for most tasks, especially path-related ones where standard matrices are weak.