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Petra je ženské křestní jméno, jedná se o ženskou variantu mužského jména Petr.
The analysis highlights Známé nositelky jména, Statistické údaje and Odkazy as prominent areas in the source structure around Petra.
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 Petra shows recurring relationship patterns in the source. For example, Petra → Cetkovská, Doležalová, Edelmannová, Hřebíčková, Hůlová, Janů, Jiřího ParoubkaPetra Procházková, Jungmanová, Kamínková, Kelly, Kronberger, Kulichová, Kvitová, Lovelyhair, Morosini, Neomillnerová, Němcová, Oriešková, Paroubková, Petra Buzková Another extracted example is Petra → Baby Names Archivováno, MV, Obrázky, Wayback Machine, Wikimedia CommonsČetnost. 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.
jména jméno četnost 17 čr ženské petronila tohoto původ česko srpen údaje pořadí jmen petr svátek mv změna česká herečka
TTTA extracted 36 structured relationships around Petra. Examples in this analysis include Petra → Petronila → 154 (877. nejčastější) and Petra → Pořadí podle četnosti → 28.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Petra | Petronila | 154 (877. nejčastější) | 1.00 | infobox |
| Petra | Pořadí podle četnosti | 28. | 1.00 | infobox |
| Petra | Původ | řecký | 1.00 | infobox |
| Petra | Česko Česko | 17. srpen | 1.00 | infobox |
| Petra | Četnost v Česku | 102 693 | 1.00 | infobox |
| Petra | related to Externí odkazy | Obrázky | 0.60 | section |
| Petra | related to Externí odkazy | Wikimedia CommonsČetnost | 0.60 | section |
| Petra | related to Externí odkazy | MV | 0.60 | section |
| Petra | related to Externí odkazy | Baby Names Archivováno | 0.60 | section |
| Petra | related to Externí odkazy | Wayback Machine | 0.60 | section |
| Petra | related to Související články | Seznam | 0.60 | section |
| Petra | related to Známé nositelky jména | Petra Buzková | 0.60 | section |
The concept neighborhoods around Petra bring nearby vocabulary together. In this analysis, examples include Jmen, Mv and Čr. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Petra, one of the stronger structural bridges in this analysis connects Petra 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 Petra to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Známé nositelky jména, Statistické údaje & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Petra · CS edition · Analysis: TopicsToTalkAbout