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Erik je mužské křestní jméno skandinávského původu, Erich je jiná podoba téhož jména. Vykládá se jako „vážený vládce“ (Eirík(u)r). Podle českého kalendáře má svátek 26. října.
The analysis highlights Známí nositelé jména (abecedně), Odkazy and Statistické údaje as prominent areas in the source structure around Erik.
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 Erik shows recurring relationship patterns in the source. For example, Erik → Eiricnizozemština, Eirikanglicky, Eric, Erichitalsky, Erichpolsky, Erichsrbochorvatsky, Ericirsky, Ericodánsky, Eriknorsky, Eryk Another extracted example is Erik → Edman, Erik Adolf Saudek, Erik Frič, Lindahl, Pardus, Roberts, Rudý, Satie, Stenkilsson, Tabery. 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.
erich jména jméno 26 října mužské četnost svátek eric český původ údaje čr král švédský pořadí kalendáře tohoto změna fotbalový
TTTA extracted 31 structured relationships around Erik. Examples in this analysis include Erik → Podle údajů z roku → 2016 and Erik → Pořadí podle četnosti → 206.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Erik | Podle údajů z roku | 2016 | 1.00 | infobox |
| Erik | Pořadí podle četnosti | 206. | 1.00 | infobox |
| Erik | Původ | skandinávský | 1.00 | infobox |
| Erik | Svátek | 26. října | 1.00 | infobox |
| Erik | Četnost v Česku | 5 656 | 1.00 | infobox |
| Erik | related to Erik v jiných jazycích | Erichpolsky | 0.60 | section |
| Erik | related to Erik v jiných jazycích | Eryk | 0.60 | section |
| Erik | related to Erik v jiných jazycích | Erichsrbochorvatsky | 0.60 | section |
| Erik | related to Erik v jiných jazycích | Eric | 0.60 | section |
| Erik | related to Erik v jiných jazycích | Erichitalsky | 0.60 | section |
| Erik | related to Erik v jiných jazycích | Ericodánsky | 0.60 | section |
| Erik | related to Erik v jiných jazycích | Eriknorsky | 0.60 | section |
The concept neighborhoods around Erik bring nearby vocabulary together. In this analysis, examples include Erich, Jména and Jméno. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Erik, one of the stronger structural bridges in this analysis connects Erik with Známí nositelé jména (abecedně). 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 Erik to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Známí nositelé jména (abecedně), Odkazy & 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 — Erik · CS edition · Analysis: TopicsToTalkAbout