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SnapPea

SnapPea is free software designed to help mathematicians, in particular low-dimensional topologists, study hyperbolic 3-manifolds. The primary developer is Jeffrey Weeks, who created the first version as part of his doctoral thesis, supervised by William Thurston. It is not to be confused with the unrelated Android malware with the same name.

Art, Overview & Algorithms and functions

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Research this topic

Explore the main themes, entities and connections around SnapPea. 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

Algorithms and functions

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

SnapPea

Nodes40
Edges39
Triples22
Avg. degree1.95
Density0.05
Components1

How this topic connects Entity context

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

SnapPea

Top relations

related to Minimal ideal triangulation · 9
SnapPea → Given, If, In, It, Newton's, Once, Princeton, These, Thurston
related to External links · 4
SnapPea → Culler, Damian Heard's, Dunfield's, SnapPea Jeff Weeks
related to Algorithms and functions · 3
SnapPea → Almost, At, The
related to Canonical decomposition · 3
SnapPea → If, The, This
see also · 2
SnapPea → Computational, Regina
related to Censuses · 1
SnapPea → Cusped

Important terminology Word statistics

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

Important terminology

hyperbolic canonical 3-manifolds ideal triangulation decomposition also two cusped weeks links python given link complement able jeffrey version written minimal

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
SnapPearelated to Algorithms and functionsAt0.60section
SnapPearelated to Algorithms and functionsThe0.60section
SnapPearelated to Algorithms and functionsAlmost0.60section
SnapPearelated to Canonical decompositionIf0.60section
SnapPearelated to Canonical decompositionThis0.60section
SnapPearelated to Canonical decompositionThe0.60section
SnapPearelated to CensusesCusped0.60section
SnapPearelated to External linksSnapPea Jeff Weeks0.60section
SnapPearelated to External linksCuller0.60section
SnapPearelated to External linksDunfield's0.60section
SnapPearelated to External linksDamian Heard's0.60section
SnapPearelated to Minimal ideal triangulationGiven0.60section

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.