Research any topic before you write.

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

SHARE (computing): Regions & Overview

SHARE Inc. is a volunteer-run user group for IBM mainframe computers that was founded in 1955 by Los Angeles-area users of the IBM 704 computer system. It evolved into a forum for exchanging technical information about programming languages, operating systems, database systems, and user experiences for enterprise users of small, medium, and large-scale…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

SHARE (computing) topic overview

The analysis highlights Regions and Overview as prominent areas in the source structure around SHARE (computing).

Related topics
25
Source areas
1
Connected nodes
26
Extracted relationships
11
Concept neighborhoods
22
Bridge connections
26

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.

Overview · 25 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.

Location
Los Angeles-area
Formation
1955; 71 years ago (1955)
Purpose
User group for IBM mainframe computers

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

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 SHARE (computing) connects Entity context

The extracted context around SHARE (computing) shows recurring relationship patterns in the source. For example, SHARE (computing) → 1955; 71 years ago (1955) Another extracted example is SHARE (computing) → Los Angeles-area. Use these groups to spot repeated connection types before inspecting the individual relationships.

SHARE (computing)

Top relations

Formation · 1
SHARE (computing) → 1955; 71 years ago (1955)
Location · 1
SHARE (computing) → Los Angeles-area
Purpose · 1
SHARE (computing) → User group for IBM mainframe computers
Website · 1
SHARE (computing) → www.share.org

Important terminology

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

Important terminology

share ibm users group user computers guide mainframe website major library software europe 1955 los angeles-area development later inc 704

SHARE (computing) relationships Subject–Predicate–Object triples

TTTA extracted 11 structured relationships around SHARE (computing). Examples in this analysis include SHARE (computing) → Formation → 1955; 71 years ago (1955) and SHARE (computing) → Location → Los Angeles-area. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
SHARE (computing)Formation1955; 71 years ago (1955)1.00infobox
SHARE (computing)LocationLos Angeles-area1.00infobox
SHARE (computing)PurposeUser group for IBM mainframe computers1.00infobox
SHARE (computing)Websitewww.share.org1.00infobox
IBM S/360instance ofand large-scale IBM computers0.80text
IBM S/370instance ofand large-scale IBM computers0.80text
zSeriesinstance ofand large-scale IBM computers0.80text
pSeriesinstance ofand large-scale IBM computers0.80text
and xSeriesinstance ofand large-scale IBM computers0.80text
Linuxinstance ofnow widely used in the development of free and open-source software0.80text
the GNU projectinstance ofnow widely used in the development of free and open-source software0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around SHARE (computing) bring nearby vocabulary together. In this analysis, examples include Ibm, Guide and Europe. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • SHARE (computing)
    • Ibm
    • Guide
    • Europe
    • Later
    • Group
    • Library
    • Angeles-area
    • Computer
    • European
    • Los
    • Members
    • Name
  • share (computing)
    • Ibm
    • Guide
    • Europe
    • Later
    • Group
    • Library
    • Angeles-area
    • Computer
    • European
    • Los
    • Members
    • Name
  • user group
    • Mainframe
    • Angeles-area
    • Los
    • Users
    • Computers
    • User
    • Ibm
    • Major
    • Pseries
    • Zseries
    • Guide
    • Enterprise
  • ibm
    • Users
    • Share
    • Computers
    • Mainframe
    • User
    • Angeles-area
    • Computer
    • Enterprise
    • Los
    • Operating
    • Originally
    • Programming
  • mainframe computers
    • User
    • Angeles-area
    • Los
    • Computers
    • Mainframe
    • Group
    • Major
    • Pseries
    • Users
    • Zseries
    • Ibm
    • Computer
  • ibm 704
    • Users
    • Share
    • Computers
    • Mainframe
    • User
    • Angeles-area
    • Computer
    • Enterprise
    • Los
    • Operating
    • Originally
    • Programming
  • ibm computers
    • User
    • Angeles-area
    • Los
    • Mainframe
    • Users
    • Group
    • Pseries
    • Share
    • Zseries
    • Computers
    • Ibm
    • Computer
  • ibm s/360
    • Users
    • Share
    • Computers
    • Mainframe
    • User
    • Angeles-area
    • Computer
    • Enterprise
    • Los
    • Operating
    • Originally
    • Programming

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the SHARE (computing) map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

SHARE (computing)

Nodes27
Edges26
Triples11
Avg. degree1.93
Density0.074074
Components1

Source & methodology

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

Source: Wikipedia — SHARE (computing) · EN edition · Analysis: TopicsToTalkAbout

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