Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Leaf power

In the mathematical area of graph theory, a k-leaf power of a tree T is a graph G whose vertices are the leaves of T and whose edges connect pairs of leaves whose distance in T is at most k. That is, G is an induced subgraph of the graph power ⁠ T k {\displaystyle T^{k}} ⁠, induced by the leaves of T. For a graph G constructed in this way, T is called a…

Measurement, Related classes of graphs & Structure and recognition

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 Leaf power. 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.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Related classes of graphs

Structure and recognition

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

Leaf power

Nodes24
Edges23
Triples15
Avg. degree1.92
Density0.083333
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Leaf power

Top relations

related to Structure and recognition · 10
Leaf power → Based, Brandstädt, Chang, Characterizations, Ducoffe, Ko, Le, Rautenbach, Recognition, Sritharan
related to Related classes of graphs · 5
Leaf power → Actually, In Brandstädt, NeST, Since, The

Important terminology Word statistics

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

Important terminology

graph powers k-leaf power graphs leaf recognition time trees leaves chordal linear also whose problem mathematical tree vertices distance phylogeny

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Leaf powerrelated to Related classes of graphsSince0.60section
Leaf powerrelated to Related classes of graphsActually0.60section
Leaf powerrelated to Related classes of graphsNeST0.60section
Leaf powerrelated to Related classes of graphsIn Brandstädt0.60section
Leaf powerrelated to Related classes of graphsThe0.60section
Leaf powerrelated to Structure and recognitionBased0.60section
Leaf powerrelated to Structure and recognitionCharacterizations0.60section
Leaf powerrelated to Structure and recognitionRautenbach0.60section
Leaf powerrelated to Structure and recognitionBrandstädt0.60section
Leaf powerrelated to Structure and recognitionLe0.60section
Leaf powerrelated to Structure and recognitionSritharan0.60section
Leaf powerrelated to Structure and recognitionRecognition0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.