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Miriam je ženské biblické jméno přepisované do latinky i v podobě Mirjam. Častější obdodou jména Miriam je jméno Marie. V českém občanském kalendáři má svátek 5. listopadu.
The analysis highlights Známé nositelky jména, Jiné Miriam and Statistické údaje as prominent areas in the source structure around Miriam.
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 Miriam shows recurring relationship patterns in the source. For example, Miriam → Chytilová, Friedová, Hrušková, Janásová, Kantorková, Makeba, Mirjam, Mojžíšova, Müller Landa, Němcová, Stoppard Another extracted example is Miriam → Miam, Miamka, Miri, Miriamka, Mirinka, Mirunka, Ria, Riamka. 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 jména původ listopadu ženské četnost svátek mirjam tedy údaje čr pořadí ze slova změna biblické přepisované latinky podobě častější
TTTA extracted 29 structured relationships around Miriam. Examples in this analysis include Miriam → Podle údajů z roku → 2017 and Miriam → Pořadí podle četnosti → 295.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Miriam | Podle údajů z roku | 2017 | 1.00 | infobox |
| Miriam | Pořadí podle četnosti | 295. | 1.00 | infobox |
| Miriam | Původ | hebrejský | 1.00 | infobox |
| Miriam | Svátek | 5. listopadu | 1.00 | infobox |
| Miriam | Četnost v Česku | 2 367 | 1.00 | infobox |
| Miriam | related to Domácí varianty | Miriamka | 0.60 | section |
| Miriam | related to Domácí varianty | Mirinka | 0.60 | section |
| Miriam | related to Domácí varianty | Miri | 0.60 | section |
| Miriam | related to Domácí varianty | Miam | 0.60 | section |
| Miriam | related to Domácí varianty | Miamka | 0.60 | section |
| Miriam | related to Domácí varianty | Mirunka | 0.60 | section |
| Miriam | related to Domácí varianty | Riamka | 0.60 | section |
The concept neighborhoods around Miriam bring nearby vocabulary together. In this analysis, examples include Jméno, Mirjam and Ženské. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Miriam, one of the stronger structural bridges in this analysis connects Miriam 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 Miriam to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Známé nositelky jména, Jiné Miriam & Statistické údaje, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Miriam · CS edition · Analysis: TopicsToTalkAbout