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Marek Vašut (* 5. května 1960 Praha) je český divadelní a filmový herec a filmový a herní dabér.
The analysis highlights Filmografie, Odkazy and Život as prominent areas in the source structure around Marek Vašut.
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 Marek Vašut shows recurring relationship patterns in the source. For example, Marek Vašut → Archivováno, Archivu Národního, BrnoMarek Vašut, Cesty, Dabingforum, Divadla BrodwayProfil Marka Vašuta, Filmové, Hudebního, InstinktMarek Vašut, Internet Movie Database, KarlínMarek Vašut, KinoboxuMarek Vašut, Marek VašutOsobní, Marka VašutaMarek Vašut, Markem Vašutem, Naše, Národního, Obrázky, Osobnost Plus, Plus Another extracted example is Marek Vašut → Absolvoval, Brně, Chcete, DAMU, Humanet, Jana Nerudy, Již, Lee Strasberg Theatre Institute, ND, Národním, Ostrovní, Plívové, Po, Praze, Pěsti, Své, USA, Věry. 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.
vašut praha marek divadelní roce český československo isbn herec filmu roku 2018 května mafia the tv seriál jan žižka 2002
TTTA extracted 50 structured relationships around Marek Vašut. Examples in this analysis include Marek Vašut → Alma mater → Akademie múzických umění v Praze Lee Strasberg Theatre and Film Institute Kalifornská univerzita v Davisu and Marek Vašut → Narození → 5. května 1960 (66 let) Praha Československo Československo. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Marek Vašut | Alma mater | Akademie múzických umění v Praze Lee Strasberg Theatre and Film Institute Kalifornská univerzita v Davisu | 1.00 | infobox |
| Marek Vašut | Narození | 5. května 1960 (66 let) Praha Československo Československo | 1.00 | infobox |
| Marek Vašut | Povolání | dětský herec, malíř, fotograf, filmový herec, herec, grafik a divadelní herec | 1.00 | infobox |
| Marek Vašut | Rodiče | Vladimír Vašut | 1.00 | infobox |
| Marek Vašut | Sídlo | Praha | 1.00 | infobox |
| Marek Vašut | Významné role | Tommy Angelo (Mafia: The City of Lost Heaven) | 1.00 | infobox |
| Marek Vašut | related to Externí odkazy | Obrázky | 0.60 | section |
| Marek Vašut | related to Externí odkazy | Wikimedia CommonsSeznam | 0.60 | section |
| Marek Vašut | related to Externí odkazy | Souborném | 0.60 | section |
| Marek Vašut | related to Externí odkazy | Marek VašutOsobní | 0.60 | section |
| Marek Vašut | related to Externí odkazy | Marka VašutaMarek Vašut | 0.60 | section |
| Marek Vašut | related to Externí odkazy | Archivu Národního | 0.60 | section |
The concept neighborhoods around Marek Vašut bring nearby vocabulary together. In this analysis, examples include Vašut, Filmový and Května. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Marek Vašut, one of the stronger structural bridges in this analysis connects Marek Vašut with Filmografie. 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 Marek Vašut to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Filmografie, Odkazy & Život, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Marek Vašut · CS edition · Analysis: TopicsToTalkAbout