Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Graph drawing: Applications, Art & Science

Graph drawing is an area of mathematics and computer science combining methods from geometric graph theory and information visualization to derive two-dimensional (or, sometimes, three-dimensional) depictions of graphs arising from applications such as social network analysis, cartography, linguistics, and bioinformatics.

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Graph drawing topic overview

The analysis highlights Applications, Art and Science as prominent areas in the source structure around Graph drawing.

Related topics
103
Source areas
6
Connected nodes
109
Extracted relationships
81
Concept neighborhoods
46
Bridge connections
109

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Application-specific graph drawings · 27 topics
Layout methods · 20 topics
Software · 18 topics
Graphical conventions · 14 topics
Overview · 12 topics
Quality measures · 12 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Graphical conventions

Quality measures

Layout methods

Application-specific graph drawings

Software

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Graph drawing connects Entity context

The extracted context around Graph drawing shows recurring relationship patterns in the source. For example, Graph drawing → Coffman, Graham, In, Laplacian, Layered, Often, Orthogonal, PCB, Spectral, Sugiyama-style, There, These, They, Tree, Typically, VLSI Another extracted example is Graph drawing → Additionally, Angular, Cubic, Drawings, However, If, In, It, Many, Several, Similarly, Some, Symmetry, The. Use these groups to spot repeated connection types before inspecting the individual relationships.

Graph drawing

Top relations

has method · 16
Graph drawing → Coffman, Graham, In, Laplacian, Layered, Often, Orthogonal, PCB, Spectral, Sugiyama-style, There, These, They, Tree, Typically, VLSI
related to Quality measures · 14
Graph drawing → Additionally, Angular, Cubic, Drawings, However, If, In, It, Many, Several, Similarly, Some, Symmetry, The
related to Software · 13
Graph drawing → AT, BioFabric, CorporationLinkurious, Cytoscape, GLEE, LaNet-vi, LuaTeX, Microsoft Automatic Graph Layout, NET, Python, Software, TikZ, Tulip
related to Graph drawing algorithms · 10
Graph drawing → Among, Gutwenger, Kant's, Misue, Mutzel, Sugiyama, Tamassia's, The Magnetic Spring Model, The Reingold-Tilford, There
related to External links · 6
Graph drawing → Graph, GraphX, NET Archived, Supports, Wayback Machine, WPF
related to Application-specific graph drawings · 5
Graph drawing → Bioinformatics, Data-flow, Graphs, Project, Sociograms
see also · 3
Graph drawing → Graph DrawingList, International Symposium, Unified Modeling Language
is a · 1
Graph drawing → area of mathematics and computer science combining methods from geometric graph theory and information visualization to derive two-dimensional

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

graph drawing edges vertices layout graphs methods edge may drawings network software area diagrams algorithms algorithm many number also planar

Graph drawing relationships Subject–Predicate–Object triples

TTTA extracted 81 structured relationships around Graph drawing. Examples in this analysis include Graph drawing → is a → area of mathematics and computer science combining methods from geometric graph theory and information visualization to derive two-dimensional and social network analysis → instance of → depictions of graphs arising from applications. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Graph drawingis aarea of mathematics and computer science combining methods from geometric graph theory and information visualization to derive two-dimensional0.90text
social network analysisinstance ofdepictions of graphs arising from applications0.80text
cartographyinstance ofdepictions of graphs arising from applications0.80text
linguisticsinstance ofdepictions of graphs arising from applications0.80text
and bioinformatics.A drawing of a graph or network diagram is a pictorial representation of the verticesinstance ofdepictions of graphs arising from applications0.80text
edges of a graphinstance ofdepictions of graphs arising from applications0.80text
tapering provide this information more effectivelyinstance ofuser studies have shown that other conventions0.80text
circle packingsinstance oflink diagrams include adjacency representations0.80text
in which vertices are represented by disjoint regions in the planeinstance oflink diagrams include adjacency representations0.80text
edges are represented by adjacencies between regionsinstance oflink diagrams include adjacency representations0.80text
the Laplacian derived from the adjacency matrix of the graph.Orthogonal layout methodsinstance ofor they may translate the forces directly into velocities or accelerations for the moving vertices.Spectral layout methods use as coordinates the eigenvectors of a matrix0.80text
which allow the edges of the graph to run horizontally or verticallyinstance ofor they may translate the forces directly into velocities or accelerations for the moving vertices.Spectral layout methods use as coordinates the eigenvectors of a matrix0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Graph drawing bring nearby vocabulary together. In this analysis, examples include Graph, Layout and Methods. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Graph drawing
    • Graph
    • Layout
    • Methods
    • Graphs
    • Vertices
    • Edges
    • Software
    • Area
    • Network
    • Drawings
    • Edge
    • Different
  • graph drawing
    • Graph
    • Layout
    • Methods
    • Graphs
    • Software
    • Vertices
    • Edges
    • Edge
    • Area
    • Network
    • Drawings
    • Problem
  • geometric graph theory
    • Layout
    • Methods
    • Graphs
    • Vertices
    • Edges
    • Software
    • Network
    • Drawings
    • Edge
    • Different
    • Problem
    • Visualization
  • graphs
    • Software
    • Graphical
    • Open-source
    • Network
    • Diagrams
    • Methods
    • However
    • Information
    • Often
    • Used
    • Visualization
    • Algorithm
  • edges
    • Diagrams
    • Line
    • Vertices
    • Nodes
    • Drawings
    • Graph
    • Curves
    • Drawn
    • Within
    • May
    • Methods
    • Circle
  • complete graphs
    • Software
    • Graphical
    • Open-source
    • Network
    • Diagrams
    • Methods
    • However
    • Information
    • Often
    • Used
    • Visualization
    • Algorithm
  • directed graphs
    • Software
    • Graphical
    • Open-source
    • Network
    • Diagrams
    • Methods
    • However
    • Information
    • Often
    • Used
    • Visualization
    • Algorithm
  • upward planar drawing
    • Graph
    • Algorithm
    • Graphs
    • Software
    • Vertices
    • Edges
    • Edge
    • Area
    • Network
    • Often
    • Methods
    • Problem

Connections between topic areas Semantic bridges

For Graph drawing, one of the stronger structural bridges in this analysis connects Graph drawing with Application-specific graph drawings. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Graph drawing — Application-specific graph drawings · splits 82 ⟂ 28
Graph drawing — Layout methods · splits 89 ⟂ 21
Graph drawing — Software · splits 91 ⟂ 19
Graph drawing — Graphical conventions · splits 95 ⟂ 15
Graph drawing — Overview · splits 97 ⟂ 13
Graph drawing — Quality measures · splits 97 ⟂ 13

Map overview Semantic statistics

Graph drawing

Nodes110
Edges109
Triples81
Avg. degree1.98
Density0.018182
Components1

Source & methodology

TTTA analyzes the structure around Graph drawing to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Art & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Graph drawing · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.