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Nvi: Art, Credits and distribution & Overview

nvi (new vi) is a re-implementation of the classic Berkeley text editor, ex/vi, traditionally distributed with BSD and, later, Unix systems. It was originally distributed as part of the Fourth Berkeley Software Distribution (4BSD).

Language: English [EN]
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Nvi topic overview

The analysis highlights Art, Credits and distribution and Overview as prominent areas in the source structure around Nvi.

Related topics
23
Source areas
2
Connected nodes
25
Extracted relationships
13
Concept neighborhoods
16
Bridge connections
25

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.

Credits and distribution · 15 topics
Overview · 8 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.

License
BSD-3-Clause
Repository
repo.or.cz/nvi.git
Stable release
1.81.6 / 18 November 2007

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

Credits and distribution

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 Nvi connects Entity context

The extracted context around Nvi shows recurring relationship patterns in the source. For example, Nvi → BSD, FreeBSD, It, Keith Bostic, MINIX, NetBSD, OpenBSD, README, Steve Kirkendall Another extracted example is Nvi → BSD-3-Clause. Use these groups to spot repeated connection types before inspecting the individual relationships.

Nvi

Top relations

related to Credits and distribution · 9
Nvi → BSD, FreeBSD, It, Keith Bostic, MINIX, NetBSD, OpenBSD, README, Steve Kirkendall
License · 1
Nvi → BSD-3-Clause
Repository · 1
Nvi → repo.or.cz/nvi.git
Stable release · 1
Nvi → 1.81.6 / 18 November 2007
Website · 1
Nvi → sites.google.com/a/bostic.com/keithbostic/the-berkeley-vi-editor-home-page

Important terminology

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

Important terminology

vi berkeley bsd systems editor openbsd version available text software due new distributed distribution license unix 79 database later originally

Nvi relationships Subject–Predicate–Object triples

TTTA extracted 13 structured relationships around Nvi. Examples in this analysis include Nvi → License → BSD-3-Clause and Nvi → Repository → repo.or.cz/nvi.git. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
NviLicenseBSD-3-Clause1.00infobox
NviRepositoryrepo.or.cz/nvi.git1.00infobox
NviStable release1.81.6 / 18 November 20071.00infobox
NviWebsitesites.google.com/a/bostic.com/keithbostic/the-berkeley-vi-editor-home-page1.00infobox
Nvirelated to Credits and distributionKeith Bostic0.60section
Nvirelated to Credits and distributionIt0.60section
Nvirelated to Credits and distributionBSD0.60section
Nvirelated to Credits and distributionNetBSD0.60section
Nvirelated to Credits and distributionOpenBSD0.60section
Nvirelated to Credits and distributionFreeBSD0.60section
Nvirelated to Credits and distributionMINIX0.60section
Nvirelated to Credits and distributionSteve Kirkendall0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Nvi bring nearby vocabulary together. In this analysis, examples include Due, Berkeley and Bsd. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Nvi
    • Due
    • Berkeley
    • Bsd
    • Later
    • Licensing
    • Unix
    • Vi
    • Editor
    • Systems
    • Text
    • Bostic
    • Classic
  • nvi
    • Due
    • Berkeley
    • Bsd
    • Later
    • Licensing
    • Unix
    • Vi
    • Editor
    • Systems
    • Text
    • Bostic
    • Classic
  • bsd
    • Systems
    • Vi
    • Nvi
    • Default
    • Later
    • Licensing
    • New
    • Due
    • Text
    • Version
    • Classic
    • Computer
  • university of california, berkeley
    • Bsd
    • Nvi
    • Database
    • Distributed
    • Later
    • Licensing
    • New
    • Use
    • Due
    • Software
    • Systems
    • Text
  • berkeley database
    • Use
    • Version
    • Bsd
    • Nvi
    • Database
    • Distributed
    • Later
    • Licensing
    • New
    • Changes
    • Due
    • Software
  • dragonfly bsd
    • Systems
    • Vi
    • Nvi
    • Default
    • Later
    • Licensing
    • New
    • Due
    • Text
    • Version
    • Classic
    • Computer
  • text editor
    • Openbsd
    • Software
    • Text
    • Vi
    • Bostic
    • Ex
    • Nvi
    • Re-implementation
    • Traditionally
    • Database
    • Distributed
    • Distribution
  • ex/vi
    • Re-implementation
    • Traditionally
    • Distributed
    • Later
    • New
    • Unix
    • Default
    • Systems
    • Text
    • Bsd
    • Nvi
    • Vi

Connections between topic areas Semantic bridges

For Nvi, one of the stronger structural bridges in this analysis connects Nvi with Credits and distribution. 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
NviCredits and distribution · splits 10 ⟂ 16
NviOverview · splits 17 ⟂ 9

Map overview Semantic statistics

Nvi

Nodes26
Edges25
Triples13
Avg. degree1.92
Density0.076923
Components1

Source & methodology

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

Source: Wikipedia — Nvi · EN edition · Analysis: TopicsToTalkAbout

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