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Computing Today: Overview, Related Topics & Entities

Computing Today was a computer magazine published by Argus Specialist Publications, it was printed in the UK from the late 1970s to the mid-1980s. It began life as a supplement to Electronics Today International for four issues and became an independent publication in March 1979. Some time after 1982 it bought out rival computing magazine Microcomputer…

Language: English [EN]
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Computing Today topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Computing Today.

Related topics
10
Source areas
1
Connected nodes
11
Extracted relationships
10
Concept neighborhoods
11
Bridge connections
11

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 · 10 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.

Categories
Home computing
Company
Argus Press
Country
United Kingdom
Final issue
September 1985
First issue
March 1979
Frequency
Monthly

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 Computing Today connects Entity context

The extracted context around Computing Today shows recurring relationship patterns in the source. For example, Computing Today → Home computing Another extracted example is Computing Today → Argus Press. Use these groups to spot repeated connection types before inspecting the individual relationships.

Computing Today

Top relations

Categories · 1
Computing Today → Home computing
Company · 1
Computing Today → Argus Press
Country · 1
Computing Today → United Kingdom
Final issue · 1
Computing Today → September 1985
First issue · 1
Computing Today → March 1979
Frequency · 1
Computing Today → Monthly
ISSN · 1
Computing Today → 0142-7210
Language · 1
Computing Today → English
OCLC · 1
Computing Today → 637400787
related to External links · 1
Computing Today → Archive

Important terminology

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

Important terminology

computing today magazine uk computer publication time argus march 1979 september 1985 home software reviews programming tutorials published specialist publications

Computing Today relationships Subject–Predicate–Object triples

TTTA extracted 10 structured relationships around Computing Today. Examples in this analysis include Computing Today → Categories → Home computing and Computing Today → Company → Argus Press. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Computing TodayCategoriesHome computing1.00infobox
Computing TodayCompanyArgus Press1.00infobox
Computing TodayCountryUnited Kingdom1.00infobox
Computing TodayFinal issueSeptember 19851.00infobox
Computing TodayFirst issueMarch 19791.00infobox
Computing TodayFrequencyMonthly1.00infobox
Computing TodayISSN0142-72101.00infobox
Computing TodayLanguageEnglish1.00infobox
Computing TodayOCLC6374007871.00infobox
Computing Todayrelated to External linksArchive0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Computing Today bring nearby vocabulary together. In this analysis, examples include Argus, Magazine and Today. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Computing Today
    • Argus
    • Magazine
    • Today
    • 1970s
    • Became
    • Began
    • Bought
    • Electronics
    • Formerly
    • Four
    • Independent
    • International
  • computing today
    • Argus
    • March
    • Magazine
    • Today
    • 1970s
    • Became
    • Began
    • Bought
    • Electronics
    • Formerly
    • Four
    • International
  • computer hardware
    • 1970s
    • Late
    • Mid-1980s
    • Printed
    • Programming
    • Publications
    • Published
    • Reviews
    • Software
    • Specialist
    • Tutorials
    • Argus
  • electronics today international
    • Four
    • Independent
    • International
    • Issues
    • Life
    • Supplement
    • March
    • Publication
    • Became
    • Began
    • Electronics
    • Late
  • argus specialist publications
    • Late
    • Mid-1980s
    • Printed
    • Publications
    • Published
    • Specialist
    • Computing
    • Today
    • 1970s
    • Uk
    • Computer
    • Home
  • uk
    • 1970s
    • Late
    • Mid-1980s
    • Printed
    • Publications
    • Published
    • Specialist
    • Argus
    • Computer
    • Computing
    • Magazine
    • Today
  • home computers
    • Programming
    • Reviews
    • Software
    • Tutorials
    • March
    • September
    • Time
    • Today
  • tutorials
    • Programming
    • Reviews
    • Software
    • Computer
    • Home
    • Time

Connections between topic areas Semantic bridges

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

Min side: 3

Map overview Semantic statistics

Computing Today

Nodes12
Edges11
Triples10
Avg. degree1.83
Density0.166667
Components1

Source & methodology

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

Source: Wikipedia — Computing Today · EN edition · Analysis: TopicsToTalkAbout

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