Interactive map loads when it comes into view.
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
Research this topic
Explore the main themes, entities and connections around Graph drawing. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Explore this topic
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
Application-specific graph drawings
27 related topics
Layout methods
20 related topics
Software
18 related topics
Graphical conventions
14 related topics
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Topics to explore
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.Browse the full topic structure. Each item opens a new analysis centered on that subject.
Overview
- Mathematics
- Computer science
- Geometric graph theory
- Information visualization
- Graphs Graph (discrete mathematics)
- Social network analysis
- Cartography
- Linguistics
- Bioinformatics
- Vertices Vertex (graph theory)
- Edges Edge (graph theory)
- Aesthetics
Graphical conventions
- Line segments Line segment
- Polylines Polygonal chain
- Euclidean plane
- Ramon Llull
- Complete graphs Complete graph
- Directed graphs Directed graph
- Arrowheads Arrow (symbol)
- Orientation Orientability
- Upward planar drawing
- Circle packings Circle packing theorem
- Intersection representations Intersection graph
- Visibility representations Visibility graph
- Train tracks Train track (mathematics)
- Adjacency matrix
Quality measures
- Crossing number Crossing number (graph theory)
- Planar Planar graph
- Graph embedding
- Area Area (graph drawing)
- Bounding box
- Aspect ratio
- Symmetry groups Graph automorphism
- Number of bends Bend minimization
- Angular resolution Angular resolution (graph drawing)
- Degree Degree (graph theory)
- Slope number
- Cubic graphs Cubic graph
Layout methods
- Force-based layout
- Springs Spring (device)
- Molecular mechanics
- Gradient descent
- Energy function
- Spectral layout
- Eigenvectors Eigenvector
- Matrix Matrix (mathematics)
- Laplacian Discrete Laplace operator
- VLSI
- PCB Printed circuit board
- Tree Tree structure
- Trees Tree (graph theory)
- Layered graph drawing
- Directed acyclic graphs Directed acyclic graph
- Coffman–Graham algorithm
- Arc diagrams Arc diagram
- Circular layout
- Dominance drawing
- Reachable Reachability
Application-specific graph drawings
- Sociograms Sociogram
- Social network
- Social network analysis software
- Hasse diagrams Hasse diagram
- Partial orders Partial order
- Dessin d'enfants Dessin d'enfant
- Algebraic geometry
- State diagrams State diagram
- Finite-state machines Finite-state machine
- Computer network diagrams Computer network diagram
- Computer network
- Flowcharts Flowchart
- Drakon-charts DRAKON
- Algorithm
- Control flow
- Project network
- Project Project management
- Data-flow diagrams Data-flow diagram
- Information system
- Phylogenetic trees Phylogenetic tree
- Protein–protein interaction
- Metabolic pathways Metabolic pathway
- Placement Placement (electronic design automation)
- Routing Routing (electronic design automation)
- Electronic design automation
- Greedy embedding
- Distributed computing
Software
- BioFabric
- Cytoscape
- Gephi
- Graph-tool
- Free/libre Free Software
- Python Python (programming language)
- Graphviz
- AT&T Corporation
- Linkurious
- Graph databases
- Mathematica
- Microsoft Automatic Graph Layout
- NetworkX
- Tulip Tulip (software)
- YEd
- PGF/TikZ
- LuaTeX
- LaNet-vi
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.
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.Graph drawing
Nodes110
Edges109
Triples81
Avg. degree1.98
Density0.018182
Components1
How this topic connects Entity context
Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.See the strongest relationship patterns around the current topic before diving into the raw triples.
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 Word statistics
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.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
Entity relationships Subject–Predicate–Object triples
Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Graph drawing | is a | area of mathematics and computer science combining methods from geometric graph theory and information visualization to derive two-dimensional | 0.90 | text |
| social network analysis | instance of | depictions of graphs arising from applications | 0.80 | text |
| cartography | instance of | depictions of graphs arising from applications | 0.80 | text |
| linguistics | instance of | depictions of graphs arising from applications | 0.80 | text |
| and bioinformatics.A drawing of a graph or network diagram is a pictorial representation of the vertices | instance of | depictions of graphs arising from applications | 0.80 | text |
| edges of a graph | instance of | depictions of graphs arising from applications | 0.80 | text |
| tapering provide this information more effectively | instance of | user studies have shown that other conventions | 0.80 | text |
| circle packings | instance of | link diagrams include adjacency representations | 0.80 | text |
| in which vertices are represented by disjoint regions in the plane | instance of | link diagrams include adjacency representations | 0.80 | text |
| edges are represented by adjacencies between regions | instance of | link diagrams include adjacency representations | 0.80 | text |
| the Laplacian derived from the adjacency matrix of the graph.Orthogonal layout methods | instance of | or they may translate the forces directly into velocities or accelerations for the moving vertices.Spectral layout methods use as coordinates the eigenvectors of a matrix | 0.80 | text |
| which allow the edges of the graph to run horizontally or vertically | instance of | or they may translate the forces directly into velocities or accelerations for the moving vertices.Spectral layout methods use as coordinates the eigenvectors of a matrix | 0.80 | text |
No triples extracted yet.
Related concept clusters Concept neighborhoods
Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.These clusters group vocabulary that occurs around closely connected concepts in the source material.
Connections between topic areas Semantic bridges
Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.
For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.