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Roman Erben (* 3. října 1940 Praha) je český básník, esejista, výtvarník, fotograf, designér a typograf.
The analysis highlights Odkazy and Overview as prominent areas in the source structure around Roman Erben.
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 Roman Erben shows recurring relationship patterns in the source. For example, Roman Erben → Alfreda Jarryho, Avra, Bar, Bauerfamilie, Bernd Sülzer, Bertelsmann Verlag, Budoucnost, Cherm, Concordia, Cruz-Smith, Das Schattenspiel, Dein Recht, Der Hexer, Deutsche Malerzeitschrift, Dialog, Die, Dillard, Erben, Folge, Gabriel Another extracted example is Roman Erben → Academia, Actualité, Boty, Concordia, Curacura, Dybbuk, Environs, Fribourg, Gedicht, Geneviève Bénamou, Général, HOLOS, Joubert, Karolinum, Kdo, Kulturreferat, La, Landeshauptstadt München, Listy, Literární. 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.
erben roman praha grafická úprava ilustrace fotograf 1972 roce obálka 2007 října designér let protektorát čechy morava 1940 básník 1969
TTTA extracted 133 structured relationships around Roman Erben. Examples in this analysis include Roman Erben → Narození → 3. října 1940 (85 let) Praha Protektorát Čechy a Morava Protektorát Čechy a Morava and Roman Erben → Povolání → malíř, básník, fotograf, designér, kreslíř, grafik, redaktor, spisovatel a umělec. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Roman Erben | Narození | 3. října 1940 (85 let) Praha Protektorát Čechy a Morava Protektorát Čechy a Morava | 1.00 | infobox |
| Roman Erben | Povolání | malíř, básník, fotograf, designér, kreslíř, grafik, redaktor, spisovatel a umělec | 1.00 | infobox |
| Roman Erben | related to Externí odkazy | Obrázky | 0.60 | section |
| Roman Erben | related to Externí odkazy | Wikimedia CommonsSeznam | 0.60 | section |
| Roman Erben | related to Externí odkazy | Souborném | 0.60 | section |
| Roman Erben | related to Externí odkazy | Roman ErbenSeznam | 0.60 | section |
| Roman Erben | related to Externí odkazy | Bibliografii | 0.60 | section |
| Roman Erben | related to Externí odkazy | Historický | 0.60 | section |
| Roman Erben | related to Externí odkazy | AV | 0.60 | section |
| Roman Erben | related to Externí odkazy | Slovníku | 0.60 | section |
| Roman Erben | related to Externí odkazy | Erben | 0.60 | section |
| Roman Erben | related to Grafická úprava a ilustrace | Vratislav Effenberger | 0.60 | section |
The concept neighborhoods around Roman Erben bring nearby vocabulary together. In this analysis, examples include Roman, Českého and Básník. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Roman Erben, one of the stronger structural bridges in this analysis connects Roman Erben 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 Roman Erben to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Odkazy & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Roman Erben · CS edition · Analysis: TopicsToTalkAbout