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Hoffman–Singleton graph: Algebraic properties, Construction & Subgraphs and supergraphs

In the mathematical field of graph theory, the Hoffman–Singleton graph is a 7-regular undirected graph with 50 vertices and 175 edges. It is the unique strongly regular graph with parameters (50,7,0,1). It was constructed by Alan Hoffman and Robert Singleton while trying to classify all Moore graphs, and is the highest-order Moore graph known to exist.…

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Hoffman–Singleton graph topic overview

The analysis highlights Algebraic properties, Construction and Subgraphs and supergraphs as prominent areas in the source structure around Hoffman–Singleton graph.

Related topics
49
Source areas
4
Connected nodes
53
Extracted relationships
45
Concept neighborhoods
33
Bridge connections
53

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.

Algebraic properties · 21 topics
Construction · 13 topics
Overview · 10 topics
Subgraphs and supergraphs · 5 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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Automorphisms
252,000 (PSU(3,52):2)
Chromatic index
7
Chromatic number
4
Diameter
2
Edges
175
Genus
29

Suggested research paths

A focused starting point derived from the topic graph, ranked independently of the source article order.

Start with these areas

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

Construction

Algebraic properties

Subgraphs and supergraphs

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 Hoffman–Singleton graph connects Entity context

The extracted context around Hoffman–Singleton graph shows recurring relationship patterns in the source. For example, Hoffman–Singleton graph → Because, Coxeter, Hoffman, Hoffman Singleton, Hoffman-Singleton, Petersen, Removing, Singleton, Sylvester, Take, The, The Hoffman Singleton, There, Tutte-Coxeter Another extracted example is Hoffman–Singleton graph → As, Frobenius, Hoffman, It, PSU, PΣU, Singleton, The, Therefore. Use these groups to spot repeated connection types before inspecting the individual relationships.

Hoffman–Singleton graph

Top relations

related to Subgraphs and supergraphs · 14
Hoffman–Singleton graph → Because, Coxeter, Hoffman, Hoffman Singleton, Hoffman-Singleton, Petersen, Removing, Singleton, Sylvester, Take, The, The Hoffman Singleton, There, Tutte-Coxeter
related to Algebraic properties · 9
Hoffman–Singleton graph → As, Frobenius, Hoffman, It, PSU, PΣU, Singleton, The, Therefore
is a · 4
Hoffman–Singleton graph → 7-regular undirected graph with 50 vertices and 175 edges, group of order 252, integral graph, symmetric graph
see also · 4
Hoffman–Singleton graph → Hoffman, McKay, Miller, Singleton
related to Construction · 3
Hoffman–Singleton graph → Here, Hoffman, Singleton
Automorphisms · 1
Hoffman–Singleton graph → 252,000 (PSU(3,52):2)
Chromatic index · 1
Hoffman–Singleton graph → 7
Chromatic number · 1
Hoffman–Singleton graph → 4
Diameter · 1
Hoffman–Singleton graph → 2
Edges · 1
Hoffman–Singleton graph → 175

Important terminology

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

Important terminology

graph hoffman singleton vertices fano hoffman-singleton displaystyle moore group isomorphic exactly vertex 50 alan robert also edges graphs 15 planes

Hoffman–Singleton graph relationships Subject–Predicate–Object triples

TTTA extracted 45 structured relationships around Hoffman–Singleton graph. Examples in this analysis include Hoffman–Singleton graph → Automorphisms → 252,000 (PSU(3,52):2) and Hoffman–Singleton graph → Chromatic index → 7. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Hoffman–Singleton graphAutomorphisms252,000 (PSU(3,52):2)1.00infobox
Hoffman–Singleton graphChromatic index71.00infobox
Hoffman–Singleton graphChromatic number41.00infobox
Hoffman–Singleton graphDiameter21.00infobox
Hoffman–Singleton graphEdges1751.00infobox
Hoffman–Singleton graphGenus291.00infobox
Hoffman–Singleton graphGirth51.00infobox
Hoffman–Singleton graphNamed afterAlan J. Hoffman Robert R. Singleton1.00infobox
Hoffman–Singleton graphPropertiesStrongly regular Symmetric Hamiltonian Integral Cage Moore graph1.00infobox
Hoffman–Singleton graphRadius21.00infobox
Hoffman–Singleton graphVertices501.00infobox
Hoffman–Singleton graphis a7-regular undirected graph with 50 vertices and 175 edges0.90text
Hoffman–Singleton graphis agroup of order 2520.90text
Hoffman–Singleton graphis asymmetric graph0.90text
Hoffman–Singleton graphis aintegral graph0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Hoffman–Singleton graph bring nearby vocabulary together. In this analysis, examples include Singleton, Hoffman and Hoffman-singleton. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Hoffman–Singleton graph
    • Singleton
    • Hoffman
    • Hoffman-singleton
    • Graphs
    • Robert
    • Therefore
    • Moore
    • Symmetric
    • Group
    • Edges
    • Vertex
    • Displaystyle
  • hoffman–singleton graph
    • Singleton
    • Hoffman
    • Hoffman-singleton
    • Vertices
    • Graphs
    • Therefore
    • Robert
    • Two
    • Displaystyle
    • Alan
    • Moore
    • Symmetric
  • graph theory
    • Singleton
    • Hoffman
    • Hoffman-singleton
    • Vertices
    • Two
    • Displaystyle
    • Edges
    • Graphs
    • Moore
    • Symmetric
    • Therefore
    • Also
  • undirected graph
    • Singleton
    • Hoffman
    • Hoffman-singleton
    • Vertices
    • Two
    • Displaystyle
    • Edges
    • Graphs
    • Moore
    • Symmetric
    • Therefore
    • Also
  • strongly regular graph
    • Parameters
    • Strongly
    • Singleton
    • Hoffman
    • Girth
    • Properties
    • Graphs
    • Hoffman-singleton
    • Moore
    • Symmetric
    • Vertices
    • Two
  • alan hoffman
    • Singleton
    • Properties
    • Graphs
    • Moore
    • Pg
    • Robert
    • Subgraphs
    • Therefore
    • Also
    • Symmetric
    • Group
    • Displaystyle
  • moore graph
    • Girth
    • Singleton
    • Hoffman
    • Degree
    • Hoffman-singleton
    • Parameters
    • Properties
    • Regular
    • Strongly
    • Vertices
    • Robert
    • Symmetric
  • levi graph
    • Singleton
    • Hoffman
    • Hoffman-singleton
    • Vertices
    • Two
    • Displaystyle
    • Edges
    • Graphs
    • Moore
    • Symmetric
    • Therefore
    • Also

Connections between topic areas Semantic bridges

For Hoffman–Singleton graph, one of the stronger structural bridges in this analysis connects Hoffman–Singleton graph with Algebraic properties. 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
Hoffman–Singleton graphAlgebraic properties · splits 32 ⟂ 22
Hoffman–Singleton graphConstruction · splits 40 ⟂ 14
Hoffman–Singleton graphOverview · splits 43 ⟂ 11
Hoffman–Singleton graphSubgraphs and supergraphs · splits 48 ⟂ 6

Map overview Semantic statistics

Hoffman–Singleton graph

Nodes54
Edges53
Triples45
Avg. degree1.96
Density0.037037
Components1

Source & methodology

TTTA analyzes the structure around Hoffman–Singleton graph to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Algebraic properties, Construction & Subgraphs and supergraphs, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Hoffman–Singleton graph · EN edition · Analysis: TopicsToTalkAbout

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