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Graph-tool: Features, Suitability & Overview

graph-tool is a Python module for manipulation and statistical analysis of graphs (AKA networks). The core data structures and algorithms of graph-tool are implemented in C++, making extensive use of metaprogramming, based heavily on the Boost Graph Library. Many algorithms are implemented in parallel using OpenMP, which provides increased performance on…

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Graph-tool topic overview

The analysis highlights Features, Suitability and Overview as prominent areas in the source structure around Graph-tool.

Related topics
38
Source areas
3
Connected nodes
41
Extracted relationships
11
Concept neighborhoods
19
Bridge connections
41

What this topic covers Research coverage

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.

Features · 23 topics
Overview · 8 topics
Suitability · 7 topics

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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
Tiago P. Peixoto
License
LGPL
Operating system
OS X, Linux
Repository
git.skewed.de/count0/graph-tool
Stable release
2.45 / 22 May 2022; 4 years ago (2022-05-22)
Type
Software library

Explore all related topics Closing gaps

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.

Overview

Features

Suitability

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.

How Graph-tool connects Entity context

The extracted context around Graph-tool shows recurring relationship patterns in the source. For example, Graph-tool → Connectome, P2P Another extracted example is Graph-tool → Tiago P. Peixoto. Use these groups to spot repeated connection types before inspecting the individual relationships.

Graph-tool

Top relations

related to Suitability · 2
Graph-tool → Connectome, P2P
Developer · 1
Graph-tool → Tiago P. Peixoto
License · 1
Graph-tool → LGPL
Operating system · 1
Graph-tool → OS X, Linux
Repository · 1
Graph-tool → git.skewed.de/count0/graph-tool
Stable release · 1
Graph-tool → 2.45 / 22 May 2022; 4 years ago (2022-05-22)
Type · 1
Graph-tool → Software library
Website · 1
Graph-tool → graph-tool.skewed.de
Written in · 1
Graph-tool → Python, C++
is a · 1
Graph-tool → Python module for manipulation and statistical analysis of graphs

Important terminology

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

Important terminology

graph support graphs algorithms networks python implemented library etc network manipulation statistical analysis data based tiago peixoto clustering software website

Graph-tool relationships Subject–Predicate–Object triples

TTTA extracted 11 structured relationships around Graph-tool. Examples in this analysis include Graph-tool → Developer → Tiago P. Peixoto and Graph-tool → License → LGPL. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Graph-toolDeveloperTiago P. Peixoto1.00infobox
Graph-toolLicenseLGPL1.00infobox
Graph-toolOperating systemOS X, Linux1.00infobox
Graph-toolRepositorygit.skewed.de/count0/graph-tool1.00infobox
Graph-toolStable release2.45 / 22 May 2022; 4 years ago (2022-05-22)1.00infobox
Graph-toolTypeSoftware library1.00infobox
Graph-toolWebsitegraph-tool.skewed.de1.00infobox
Graph-toolWritten inPython, C++1.00infobox
Graph-toolis aPython module for manipulation and statistical analysis of graphs0.90text
Graph-toolrelated to SuitabilityP2P0.60section
Graph-toolrelated to SuitabilityConnectome0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Graph-tool bring nearby vocabulary together. In this analysis, examples include Graphs, Analysis and Data. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Graph-tool
    • Graphs
    • Analysis
    • Data
    • Library
    • Manipulation
    • Python
    • Networks
    • Aka
    • Boost
    • Core
    • Extensive
    • Heavily
  • graph-tool
    • Graphs
    • Analysis
    • Data
    • Library
    • Manipulation
    • Python
    • Networks
    • Aka
    • Boost
    • Core
    • Extensive
    • Heavily
  • boost graph library
    • Core
    • Extensive
    • Heavily
    • Making
    • Metaprogramming
    • Structures
    • Use
    • Data
    • Implemented
    • Library
    • Manipulation
    • Peixoto
  • graph modelling language
    • Support
    • Etc
    • Network
    • Networks
    • Graph-tool
    • Heavily
    • Making
    • Metaprogramming
    • Structures
    • Use
    • Arbitrary
    • Clustering
  • graph drawing
    • Support
    • Etc
    • Network
    • Networks
    • Graph-tool
    • Heavily
    • Making
    • Metaprogramming
    • Structures
    • Use
    • Arbitrary
    • Clustering
  • graph isomorphism
    • Support
    • Etc
    • Network
    • Networks
    • Graph-tool
    • Heavily
    • Making
    • Metaprogramming
    • Structures
    • Use
    • Arbitrary
    • Clustering
  • lattice graph
    • Support
    • Etc
    • Network
    • Networks
    • Graph-tool
    • Heavily
    • Making
    • Metaprogramming
    • Structures
    • Use
    • Arbitrary
    • Clustering
  • call graph
    • Support
    • Etc
    • Network
    • Networks
    • Graph-tool
    • Heavily
    • Making
    • Metaprogramming
    • Structures
    • Use
    • Arbitrary
    • Clustering

Connections between topic areas Semantic bridges

For Graph-tool, one of the stronger structural bridges in this analysis connects Graph-tool with Features. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Graph-tool — Features · splits 18 ⟂ 24
Graph-tool — Overview · splits 33 ⟂ 9
Graph-tool — Suitability · splits 34 ⟂ 8

Map overview Semantic statistics

Graph-tool

Nodes42
Edges41
Triples11
Avg. degree1.95
Density0.047619
Components1

Source & methodology

TTTA analyzes the structure around Graph-tool to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Features, Suitability & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Graph-tool · EN edition · Analysis: TopicsToTalkAbout

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