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Validating graph drawing aesthetics
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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/bfb0021827openalex-snapshot
Validating graph drawing aesthetics
inferredcites →https://doi.org/10.1016/0016-0032(57)90766-4openalex-snapshot
Nonparametric statistics for the behavioral sciences
inferredcites →https://doi.org/10.1109/32.52777openalex-snapshot
A framework for the automated drawing of data structure diagrams
inferredcites →https://doi.org/10.1137/0216030openalex-snapshot
On Embedding a Graph in the Grid with the Minimum Number of Bends
inferredcites →https://doi.org/10.1145/198366.198376openalex-snapshot
A classification of visual representations
inferredcites →https://doi.org/10.2307/3498751openalex-snapshot
Nonparametric Statistics for the Behavioral Sciences
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Hybrid Graph-drawing Algorithm for Large, Naturally-clustered, Disconnected Graphs
inferred← citeshttps://doi.org/10.48550/arxiv.1701.00921openalex-snapshot
Towards Faithful Graph Visualizations
inferred← citeshttps://doi.org/10.48550/arxiv.1709.00001openalex-snapshot
The Painter's Problem: covering a grid with colored connected polygons
inferred← citeshttps://doi.org/10.48550/arxiv.1801.07008openalex-snapshot
INKA: An Ink-based Model of Graph Visualization
inferred← citeshttps://doi.org/10.48550/arxiv.1905.02202openalex-snapshot
What do we see when we look at networks
inferred← citeshttps://doi.org/10.48550/arxiv.2108.03632openalex-snapshot
Deep Neural Network for DrawiNg Networks, (DNN)^2
inferred← citeshttps://doi.org/10.5220/0003828506030612openalex-snapshot
RADIAL EDGE SPLATTING FOR VISUALIZING DYNAMIC DIRECTED GRAPHS
inferred← citeshttps://doi.org/10.5220/0005632201040115openalex-snapshot
Big Graph-based Data Visualization Experiences - The WordNet Case Study
inferred← citeshttps://doi.org/10.5445/ir/1000026214openalex-snapshot
Behavior Identification in Markets - using Visualization and Network Analysis
inferred← citeshttps://doi.org/10.5555/602099.602136openalex-snapshot
GeneVis: visualization tools for genetic regulatory network dynamics
inferred← citeshttps://doi.org/10.5753/jserd.2021.1939openalex-snapshot
Strategies to Evolve ExM Notations Extracted from a Survey with Software Engineering Professionals Perspective
inferred← citeshttps://doi.org/10.70675/915790c9z1594z4e9czab64zab385caa09d0openalex-snapshot
Planar graphs : non-aligned drawings, power domination and enumeration of Eulerian orientations
inferred← citeshttps://doi.org/10.70675/c0b93ddcz747cz4e2fzb2a1zdccd7008991dopenalex-snapshot
Drawing graphs on surfaces of null and higher genus
inferred← citeshttps://doi.org/10.70675/d22de006ze7a5z4f91z9d05z2964a74df2b3openalex-snapshot
Bundling : a clutter reduction technique and its application to Alzheimer study
inferred← citeshttps://doi.org/10.7155/jgaa.00025openalex-snapshot
Difference Metrics for Interactive Orthogonal Graph Drawing Algorithms
inferred← citeshttps://doi.org/10.7155/jgaa.00090openalex-snapshot
Computing and Drawing Isomorphic Subgraphs
inferred← citeshttps://doi.org/10.7155/jgaa.00152openalex-snapshot
Effects of Sociogram Drawing Conventions and Edge Crossings in Social Network Visualization
inferred← citeshttps://doi.org/10.7155/jgaa.00323openalex-snapshot
A healthy critical attitude: Revisiting the results of a graph drawing study
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