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In graph theory, a path in an edge-colored graph is said to be rainbow if no color repeats on it. A graph is said to be rainbow-connected (or rainbow colored) if there is a rainbow path between each pair of its vertices. If there is a rainbow shortest path between each pair of vertices, the graph is said to be strongly rainbow-connected (or strongly…
Definitions and bounds, Exact rainbow or strong rainbow connection numbers & Complexity
Explore the main themes, entities and connections around Rainbow coloring. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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rainbow displaystyle graph text connection number rc colors path vertices doi minimum src graphs edges 10 said strong tree s2cid
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Rainbow coloring | related to Definitions and bounds | The | 0.60 | section |
| Rainbow coloring | related to Definitions and bounds | Similarly | 0.60 | section |
| Rainbow coloring | related to Definitions and bounds | Clearly | 0.60 | section |
| Rainbow coloring | related to Definitions and bounds | It | 0.60 | section |
| Rainbow coloring | related to Definitions and bounds | On | 0.60 | section |
| Rainbow coloring | related to Definitions and bounds | Finally | 0.60 | section |
| Rainbow coloring | related to Variants and generalizations | Chartrand | 0.60 | section |
| Rainbow coloring | related to Variants and generalizations | Okamoto | 0.60 | section |
| Rainbow coloring | related to Variants and generalizations | Zhang | 0.60 | section |
| Rainbow coloring | related to Variants and generalizations | Let | 0.60 | section |
| Rainbow coloring | related to Variants and generalizations | An | 0.60 | section |
| Rainbow coloring | related to Variants and generalizations | The | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.