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Šárka je ženské křestní jméno. Podle českého kalendáře má svátek 30. června.
The analysis highlights Známé nositelky jména, Statistické údaje and Další významy as prominent areas in the source structure around Šárka.
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 Šárka shows recurring relationship patterns in the source. For example, Šárka → Cojocarová, Jelínková, KDU-ČSL, KDU-ČSLŠárka Kašpárková, Kubelková, Maminy, Miss Earth, Pančochová, Rezková, Strachová, Svobodná, Vaňková, Volemanová Another extracted example is Šárka → Obrázky, Wikimedia Commons Slovníkové, WikislovníkuBehind The Name. 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.
jméno původ 30 června jména četnost sarra sierra sharane ženské svátek údaje čr kdu-čsl pořadí korsickým španělským albánským pražským praslovanské
TTTA extracted 23 structured relationships around Šárka. Examples in this analysis include Šárka → Podle údajů z roku → 2002 and Šárka → Pořadí podle četnosti → 43.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Šárka | Podle údajů z roku | 2002 | 1.00 | infobox |
| Šárka | Pořadí podle četnosti | 43. | 1.00 | infobox |
| Šárka | Původ | slovanský | 1.00 | infobox |
| Šárka | Svátek | 30. června | 1.00 | infobox |
| Šárka | Četnost v Česku | 35 142 | 1.00 | infobox |
| Šárka | related to Další významy | Viz | 0.60 | section |
| Šárka | related to Externí odkazy | Obrázky | 0.60 | section |
| Šárka | related to Externí odkazy | Wikimedia Commons Slovníkové | 0.60 | section |
| Šárka | related to Externí odkazy | WikislovníkuBehind The Name | 0.60 | section |
| Šárka | related to Související články | Seznam | 0.60 | section |
| Šárka | related to Známé nositelky jména | Cojocarová | 0.60 | section |
| Šárka | related to Známé nositelky jména | Miss Earth | 0.60 | section |
The concept neighborhoods around Šárka bring nearby vocabulary together. In this analysis, examples include Jméno, Jména and Jakožto. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Šárka, one of the stronger structural bridges in this analysis connects Šárka with Známé nositelky jména. 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 Šárka to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Známé nositelky jména, Statistické údaje & Další významy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Šárka · CS edition · Analysis: TopicsToTalkAbout