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Alan Cox (* 1968) je programátor, který se významně podílí na vývoji linuxového jádra už od jeho počátku v roce 1991. V době, kdy byl zaměstnán na koleji University of Wales ve Swansea, nainstaloval ranou verzi Linuxu na jeden ze strojů, patřící Swansea University Computer Society. Byla to jedna z prvních instalací Linuxu na vytíženou síť a odhalila…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Alan Cox.
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 Alan Cox shows recurring relationship patterns in the source. For example, Alan Cox → Alanem CoxemInterview, Cox, LWN, Obrázky, Swansea University Computer SocietyLugRadio, Wikimedia Commons Galerie Alan, Wikimedia CommonsRozhovor Another extracted example is Alan Cox → Aberystwythská univerzita Univerzita ve Swansea. 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.
swansea of alan cox jeho university jádra dmca 1968 programátor intel commons vývoji roce zaměstnán wales linuxu ze mnoho chyb
TTTA extracted 14 structured relationships around Alan Cox. Examples in this analysis include Alan Cox → Alma mater → Aberystwythská univerzita Univerzita ve Swansea and Alan Cox → Bydliště → Swansea. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Alan Cox | Alma mater | Aberystwythská univerzita Univerzita ve Swansea | 1.00 | infobox |
| Alan Cox | Bydliště | Swansea | 1.00 | infobox |
| Alan Cox | Narození | 22. července 1968 (58 let) Solihull | 1.00 | infobox |
| Alan Cox | Občanství | Spojené království | 1.00 | infobox |
| Alan Cox | Ocenění | FSF Free Software Awards (2004) honoris causa (2016) | 1.00 | infobox |
| Alan Cox | Povolání | programátor, bloger a počítačový vědec | 1.00 | infobox |
| Alan Cox | Zaměstnavatelé | Red Hat (1999–2009) Intel (2011–2013) Univerzita ve Swansea | 1.00 | infobox |
| Alan Cox | related to Externí odkazy | Obrázky | 0.60 | section |
| Alan Cox | related to Externí odkazy | Wikimedia Commons Galerie Alan | 0.60 | section |
| Alan Cox | related to Externí odkazy | Cox | 0.60 | section |
| Alan Cox | related to Externí odkazy | Wikimedia CommonsRozhovor | 0.60 | section |
| Alan Cox | related to Externí odkazy | LWN | 0.60 | section |
The concept neighborhoods around Alan Cox bring nearby vocabulary together. In this analysis, examples include Hat, Intel and Programátor. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the Alan Cox map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Alan Cox 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 — Alan Cox · CS edition · Analysis: TopicsToTalkAbout