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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.…
The analysis highlights Algebraic properties, Construction and Subgraphs and supergraphs as prominent areas in the source structure around Hoffman–Singleton graph.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
A focused starting point derived from the topic graph, ranked independently of the source article order.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
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.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
graph hoffman singleton vertices fano hoffman-singleton displaystyle moore group isomorphic exactly vertex 50 alan robert also edges graphs 15 planes
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.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Hoffman–Singleton graph | Automorphisms | 252,000 (PSU(3,52):2) | 1.00 | infobox |
| Hoffman–Singleton graph | Chromatic index | 7 | 1.00 | infobox |
| Hoffman–Singleton graph | Chromatic number | 4 | 1.00 | infobox |
| Hoffman–Singleton graph | Diameter | 2 | 1.00 | infobox |
| Hoffman–Singleton graph | Edges | 175 | 1.00 | infobox |
| Hoffman–Singleton graph | Genus | 29 | 1.00 | infobox |
| Hoffman–Singleton graph | Girth | 5 | 1.00 | infobox |
| Hoffman–Singleton graph | Named after | Alan J. Hoffman Robert R. Singleton | 1.00 | infobox |
| Hoffman–Singleton graph | Properties | Strongly regular Symmetric Hamiltonian Integral Cage Moore graph | 1.00 | infobox |
| Hoffman–Singleton graph | Radius | 2 | 1.00 | infobox |
| Hoffman–Singleton graph | Vertices | 50 | 1.00 | infobox |
| Hoffman–Singleton graph | is a | 7-regular undirected graph with 50 vertices and 175 edges | 0.90 | text |
| Hoffman–Singleton graph | is a | group of order 252 | 0.90 | text |
| Hoffman–Singleton graph | is a | symmetric graph | 0.90 | text |
| Hoffman–Singleton graph | is a | integral graph | 0.90 | text |
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.
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.
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