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Schwabach je německé město, které leží asi 12 km jižně od Norimberku v severním Bavorsku. Ve městě žije přibližně 41 tisíc obyvatel.
The analysis highlights Historie, Partnerská města and Geografie as prominent areas in the source structure around Schwabach.
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 Schwabach shows recurring relationship patterns in the source. For example, Schwabach → Mezi, Německu, Po, Počátkem, První, Tento, Ve, Za Another extracted example is Schwabach → Obrázky, Wikimedia CommonsOficiální, Youtube. 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.
kostel město století zde radnice commons města německo 41 obyvatel leží městě schwabašská znak vlajka 49 19 45 11 15
TTTA extracted 26 structured relationships around Schwabach. Examples in this analysis include Schwabach → Hustota zalidnění → 1 016,5 obyv./km² and Schwabach → Nadmořská výška → 326 m n. m.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Schwabach | Hustota zalidnění | 1 016,5 obyv./km² | 1.00 | infobox |
| Schwabach | Nadmořská výška | 326 m n. m. | 1.00 | infobox |
| Schwabach | Oficiální web | www.schwabach.de | 1.00 | infobox |
| Schwabach | Označení vozidel | SC | 1.00 | infobox |
| Schwabach | Počet obyvatel | 41 380 (2023) | 1.00 | infobox |
| Schwabach | Primátor | Peter Reiss (od 2020) | 1.00 | infobox |
| Schwabach | PSČ | 91101–91126 | 1.00 | infobox |
| Schwabach | Rozloha | 40,71 km² | 1.00 | infobox |
| Schwabach | Souřadnice | 49°19′45″ s. š., 11°1′15″ v. d. | 1.00 | infobox |
| Schwabach | Spolková země | Bavorsko | 1.00 | infobox |
| Schwabach | Stát | Německo Německo | 1.00 | infobox |
| Schwabach | Telefonní předvolba | 0911, 09122 | 1.00 | infobox |
| Schwabach | Vládní obvod | Střední Franky | 1.00 | infobox |
The concept neighborhoods around Schwabach bring nearby vocabulary together. In this analysis, examples include Commons, Oficiální and Wikimedia. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Schwabach, one of the stronger structural bridges in this analysis connects Schwabach with Historie. 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 Schwabach to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Partnerská města & Geografie, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Schwabach · CS edition · Analysis: TopicsToTalkAbout