Graph drawing by force-directed placement
Software—Practice & Experience
Graphlet: design and implementation of a graph editor
Software—Practice & Experience - Special issue on discrete algorithm engineering
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computing Frequent Graph Patterns from Semistructured Data
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
MAVisto: a tool for the exploration of network motifs
Bioinformatics
Gravisto: graph visualization toolkit
GD'04 Proceedings of the 12th international conference on Graph Drawing
EgoNav: exploring networks through egocentric spatializations
Proceedings of the International Working Conference on Advanced Visual Interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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The analysis of network motifs, patterns of local interconnections with potential functional properties, has applications in many fields of science. Network motif analysis is particularly important for the exploration of biological networks. The distribution and multiple occurrences of motifs in a network, complicated by dierent concepts for the determination of motif frequency, create various diculties in understanding and interpretation. We present a system that facilitates the analysis of network motifs by presenting co-ordinated perspectives simultaneously. A list of motifs supported by the network, visual representations of motifs of interest, a motif fingerprint and a visualisation of motif matches in the network are interwoven in a single interface. A motif and cluster-preserving force-directed layout algorithm supports the visual analysis of network motifs. This coordination of perspectives significantly enhances the explorative power of network motif analysis.