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Princ Albert Viktor, vévoda z Clarence a Avondale (Albert Viktor Kristián Eduard; 8. ledna 1864 – 14. ledna 1892) byl nejstarší dítě prince a princezny z Walesu (později krále Eduarda VII. a královny Alexandry) a vnuk vládnoucí britské panovnice, královny Viktorie. Od svého narození byl druhým v linii následnictví britského trůnu, ale nestal se králem…
The analysis highlights Overview, Život and Galerie as prominent areas in the source structure around Albert Viktor.
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 Albert Viktor shows recurring relationship patterns in the source. For example, Albert Viktor → Obrázky, Wikimedia Commons Another extracted example is Albert Viktor → Trinity College Univerzita Heidelberg. 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.
albert jeho viktor ledna 1892 jako clarence avondale alexandra později princ vévoda eduard 14 vii zemřel roce roku době 1864
TTTA extracted 12 structured relationships around Albert Viktor. Examples in this analysis include Albert Viktor → Alma mater → Trinity College Univerzita Heidelberg and Albert Viktor → Funkce → vévoda z Clarence a Avondale (1890–1892) člen Sněmovny lordů. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Albert Viktor | Alma mater | Trinity College Univerzita Heidelberg | 1.00 | infobox |
| Albert Viktor | Funkce | vévoda z Clarence a Avondale (1890–1892) člen Sněmovny lordů | 1.00 | infobox |
| Albert Viktor | Narození | 8. ledna 1864 Frogmore Estate | 1.00 | infobox |
| Albert Viktor | Občanství | Spojené království Velké Británie a Irska | 1.00 | infobox |
| Albert Viktor | Ocenění | rytíř Řádu slona (1883) velkokříž Řádu nizozemského lva (1885) čestný doktor Dublinské univerzity čestný doktor Univerzity v Cambridgi Podvazkový řád … více na Wikidatech | 1.00 | infobox |
| Albert Viktor | Příčina úmrtí | zápal plic | 1.00 | infobox |
| Albert Viktor | Rod | Sasko-Kobursko-Gothajští | 1.00 | infobox |
| Albert Viktor | Rodiče | Eduard VII. Alexandra Dánská | 1.00 | infobox |
| Albert Viktor | Titul | vévoda Clarence a Avondale | 1.00 | infobox |
| Albert Viktor | Úmrtí | 14. ledna 1892 (ve věku 28 let) Sandringham House | 1.00 | infobox |
| Albert Viktor | related to Externí odkazy | Obrázky | 0.60 | section |
| Albert Viktor | related to Externí odkazy | Wikimedia Commons | 0.60 | section |
The concept neighborhoods around Albert Viktor bring nearby vocabulary together. In this analysis, examples include Viktor, Avondale and Clarence. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Albert Viktor, one of the stronger structural bridges in this analysis connects Albert Viktor 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 Albert Viktor to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Život & Galerie, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Albert Viktor · CS edition · Analysis: TopicsToTalkAbout