Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
In mathematics, Johnson graphs are a special class of undirected graphs defined from systems of sets. The vertices of the Johnson graph J ( n , k ) {\displaystyle J(n,k)} are the k {\displaystyle k} -element subsets of an n {\displaystyle n} -element set; two vertices are adjacent when the intersection of the two vertices (subsets) contains ( k − 1 )…
The analysis highlights Graph-theoretic properties, Special cases and Johnson scheme as prominent areas in the source structure around Johnson 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.
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 Johnson graph shows recurring relationship patterns in the source. For example, Johnson graph → Any, Each Johnson, For, Hamilton-connected, Hamiltonian, In, It, Johnson, More, N-k, The Another extracted example is Johnson graph → Both, Johnson, K5, Kn, Kneser, More, Petersen. 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.
displaystyle johnson graph graphs vertices scheme sets distance-transitive n-k number selmer intersection also properties pair given -element set related special
TTTA extracted 36 structured relationships around Johnson graph. Examples in this analysis include Johnson graph → Diameter → min ( k , n − k ) {\displaystyle \min(k,n-k)} and Johnson graph → Edges → 1 2 k ( n − k ) ( n k ) {\displaystyle {\frac {1}{2}}k(n-k){\binom {n}{k}}}. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Johnson graph | Diameter | min ( k , n − k ) {\displaystyle \min(k,n-k)} | 1.00 | infobox |
| Johnson graph | Edges | 1 2 k ( n − k ) ( n k ) {\displaystyle {\frac {1}{2}}k(n-k){\binom {n}{k}}} | 1.00 | infobox |
| Johnson graph | Named after | Selmer M. Johnson | 1.00 | infobox |
| Johnson graph | Notation | J ( n , k ) {\displaystyle J(n,k)} | 1.00 | infobox |
| Johnson graph | Properties | k ( n − k ) {\displaystyle k(n-k)} -regular Vertex-transitive Distance-transitive Hamilton-connected Polytopal | 1.00 | infobox |
| Johnson graph | Vertices | ( n k ) {\displaystyle {\binom {n}{k}}} | 1.00 | infobox |
| Johnson graph | is a | open problem | 0.90 | text |
| Johnson graph | related to External links | Weisstein | 0.60 | section |
| Johnson graph | related to External links | Eric | 0.60 | section |
| Johnson graph | related to External links | MathWorldBrouwer | 0.60 | section |
| Johnson graph | related to External links | Andries | 0.60 | section |
| Johnson graph | related to External links | Johnson | 0.60 | section |
The concept neighborhoods around Johnson graph bring nearby vocabulary together. In this analysis, examples include Graph, Johnson and Graphs. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Johnson graph, one of the stronger structural bridges in this analysis connects Johnson graph with Graph-theoretic 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 Johnson graph to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Graph-theoretic properties, Special cases & Johnson scheme, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Johnson graph · EN edition · Analysis: TopicsToTalkAbout