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Drawing Clustered Graphs in Three Dimensions

https://doi.org/10.1007/11618058_44
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11618058_42openalex-snapshot
GEOMI: GEOmetry for Maximum Insight
inferredcites →https://doi.org/10.1007/3-540-45848-4_43openalex-snapshot
BioPath
inferredcites →https://doi.org/10.1007/3-540-62495-3_41openalex-snapshot
Multilevel visualization of clustered graphs
inferredcites →https://doi.org/10.1007/978-3-540-24595-7_10openalex-snapshot
Visualizing Related Metabolic Pathways in Two and a Half Dimensions
inferredcites →https://doi.org/10.1007/978-3-540-24595-7_29openalex-snapshot
A Constrained, Force-Directed Layout Algorithm for Biological Pathways
inferredcites →https://doi.org/10.1007/s00453-002-1011-4openalex-snapshot
Drawing Trees Symmetrically in Three Dimensions
inferredcites →https://doi.org/10.1075/idj.10.3.07waropenalex-snapshot
Designing with a 2½D attitude
inferredcites →https://doi.org/10.1109/infovis.2004.18openalex-snapshot
Dynamic Drawing of Clustered Graphs
inferredcites →https://doi.org/10.1109/infvis.1995.528689openalex-snapshot
Research report. Interacting with huge hierarchies: beyond cone trees
inferredcites →https://doi.org/10.1109/infvis.2001.963281openalex-snapshot
Visualization of state transition graphs
inferredcites →https://doi.org/10.1109/infvis.2004.18openalex-snapshot
Dynamic Drawing of Clustered Graphs
inferredcites →https://doi.org/10.1109/vl.1994.363621openalex-snapshot
Viewing a graph in a virtual reality display is three times as good as a 2D diagram
inferredcites →https://doi.org/10.1145/108844.108883openalex-snapshot
Cone Trees

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/11618058_42openalex-snapshot
GEOMI: GEOmetry for Maximum Insight
inferred← citeshttps://doi.org/10.1007/11618058_49openalex-snapshot
MultiPlane: A New Framework for Drawing Graphs in Three Dimensions
inferred← citeshttps://doi.org/10.1007/978-3-030-64559-5_45openalex-snapshot
Near-Optimal Concentric Circles Layout
inferred← citeshttps://doi.org/10.1007/978-3-319-71734-0_11openalex-snapshot
Layered Layouts for Software Systems Visualization Using Nested Petri Nets
inferred← citeshttps://doi.org/10.1007/978-3-642-02577-8_89openalex-snapshot
Sphere Anchored Map: A Visualization Technique for Bipartite Graphs in 3D
inferred← citeshttps://doi.org/10.1007/978-3-642-25878-7_13openalex-snapshot
TGI-EB: A New Framework for Edge Bundling Integrating Topology, Geometry and Importance
inferred← citeshttps://doi.org/10.1007/s00449-007-0177-1openalex-snapshot
Visual exploration of isotope labeling networks in 3D
inferred← citeshttps://doi.org/10.1007/s11042-022-13017-5openalex-snapshot
Graph partitioning and visualization in graph mining: a survey
inferred← citeshttps://doi.org/10.1007/s12551-020-00744-yopenalex-snapshot
Biophysical Review’s ‘meet the editors series’—a profile of Joshua W. K. Ho
inferred← citeshttps://doi.org/10.1109/apvis.2007.329279openalex-snapshot
Navigation techniques for 2.5D graph layout
inferred← citeshttps://doi.org/10.1109/bigcomp.2014.6741399openalex-snapshot
A framework for visual analytics of massive complex networks
inferred← citeshttps://doi.org/10.1109/iv.2010.13openalex-snapshot
Drawing Clustered Bipartite Graphs in Multi-circular Style
inferred← citeshttps://doi.org/10.1109/iv.2016.52openalex-snapshot
Drawing Clustered Graphs Using Stress Majorization and Force-Directed Placements
inferred← citeshttps://doi.org/10.7148/2008-0227openalex-snapshot
3D Visualization Of Simulation Data In A Network Context: A Case Study From Systems Biology
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