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Computerwoche (Computer Week) is a German weekly newspaper for CIOs and IT managers. The German counterpart of the American magazine Computerworld, it has been on the market since 1974, and is mainly sold by subscription. The newspaper belongs to the IT specialist publisher International Data Group (IDG), whose German branch and the editorial team of…
The analysis highlights History and Art as prominent areas in the source structure around Computerwoche.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Computerwoche shows recurring relationship patterns in the source. For example, Computerwoche → About, Computerworld GmbH, Editors, Employees, From, Further, IT, Linotype, November, October, Printing, The, Until September, Wednesday, With Another extracted example is Computerwoche → After, At, Deloitte, From, IDG-Verlag, In, IVW, July, On July, The IVW, These. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
german publisher newspaper computerworld magazine circulation international issue weekly data website appeared layout pages editorial specialist current format sold group
TTTA extracted 40 structured relationships around Computerwoche. Examples in this analysis include Computerwoche → Circulation → 28,306 (sold) and Computerwoche → Circulation → 54,742 (distributed). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Computerwoche | Circulation | 28,306 (sold) | 1.00 | infobox |
| Computerwoche | Circulation | 54,742 (distributed) | 1.00 | infobox |
| Computerwoche | City | Munich | 1.00 | infobox |
| Computerwoche | Country | Germany | 1.00 | infobox |
| Computerwoche | Editor-in-chief | Heinrich Vaske | 1.00 | infobox |
| Computerwoche | Format | 381 by 280 millimetres (15.0 in × 11.0 in) | 1.00 | infobox |
| Computerwoche | ISSN | 0170-5121 | 1.00 | infobox |
| Computerwoche | Language | German | 1.00 | infobox |
| Computerwoche | Launched | 9 October 1974; 51 years ago (1974-10-09) | 1.00 | infobox |
| Computerwoche | OCLC number | 60621167 | 1.00 | infobox |
| Computerwoche | Publisher | International Data Group | 1.00 | infobox |
| Computerwoche | Sister newspapers | Computerworld magazine | 1.00 | infobox |
| Computerwoche | Type | Weekly newspaper | 1.00 | infobox |
| Computerwoche | Website | Official website | 1.00 | infobox |
The concept neighborhoods around Computerwoche bring nearby vocabulary together. In this analysis, examples include Newspaper, German and First. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Computerwoche, one of the stronger structural bridges in this analysis connects Computerwoche with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Computerwoche to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Computerwoche · EN edition · Analysis: TopicsToTalkAbout