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Helena je ženské křestní jméno. Podle českého kalendáře má svátek 18. srpna.
The analysis highlights Známé nositelky jména, Místa and Mytologie a fikce as prominent areas in the source structure around Helena.
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 Helena shows recurring relationship patterns in the source. For example, Helena → Alžběty Bavorské, AV, Blehárová, Bonham Carterová, Bušová, Chlora, Christensenová, Constantia, Dvořáková, Erbenová, Fibingerová, Flavia Iulia Helena, Friedrichová, Helena Barlow, Helena Kafková, Hohenlohe-Langenburská, Houdová, Illnerová, Konstantina VelikéhoHelena Bavorská, Koželuhová Another extracted example is Helena → AngolySvatá Helena, Banát, BanátuHora Svaté Heleny, Kalifornie, Lake, Mayacamas Mountains, Montana, MontanaSvatá Helena, Napa, Sonoma, USA. 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.
nejčastější jméno hela 18 srpna četnost roku čr ženské jména homérova helen svátek hel žen manželka příčinou trojské války hella
TTTA extracted 64 structured relationships around Helena. Examples in this analysis include Helena → Hela → 21 (2 327. nejčastější) and Helena → Helen → 59 (1 350. nejčastější). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Helena | Hela | 21 (2 327. nejčastější) | 1.00 | infobox |
| Helena | Helen | 59 (1 350. nejčastější) | 1.00 | infobox |
| Helena | Helene | 15 (2 762. nejčastější) | 1.00 | infobox |
| Helena | Helenka | 51 (1 464. nejčastější) | 1.00 | infobox |
| Helena | Hellen | 7 (4 381. nejčastější) | 1.00 | infobox |
| Helena | Hélene, Héléne, Hellena | 1 (17 615. nejčastější) | 1.00 | infobox |
| Helena | Podle údajů z roku | 2016 | 1.00 | infobox |
| Helena | Pořadí podle četnosti | 38. | 1.00 | infobox |
| Helena | Původ | řecký | 1.00 | infobox |
| Helena | Svátek | 18. srpna | 1.00 | infobox |
| Helena | Četnost v Česku | 74 391 | 1.00 | infobox |
| Helena | related to Externí odkazy | Obrázky | 0.60 | section |
The concept neighborhoods around Helena bring nearby vocabulary together. In this analysis, examples include Helen, Helenka and Homérova. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Helena, one of the stronger structural bridges in this analysis connects Helena 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 Helena to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Známé nositelky jména, Místa & Mytologie a fikce, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Helena · CS edition · Analysis: TopicsToTalkAbout