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Rădăuți (německy Radautz, maďarsky Radóc, polsky Radowce, ukrajinsky Радівці, Radivci) je město v Rumunsku v župě Sučava. Nachází se blízko hranice s Ukrajinou, asi 35 km severozápadně od Sučavy, 181 km severozápadně od Jasů a asi 474 km severovýchodně od Bukurešti. V roce 2011 žilo ve městě 23 822 obyvatel, Rădăuți je tak třetím největším městem župy…
The analysis highlights Overview and Odkazy as prominent areas in the source structure around Rădăuți.
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 Rădăuți shows recurring relationship patterns in the source. For example, Rădăuți → Obrázky, Wikimedia Commons Another extracted example is Rădăuți → [email protected]. 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.
sučava městě sučavy 58 commons nachází městem župy města 2011 rumunsko město 23 822 obyvatel pravoslavná katedrála znak 47 50
TTTA extracted 22 structured relationships around Rădăuți. Examples in this analysis include Rădăuți → E-mail → [email protected] and Rădăuți → Etnické složení → Rumuni (89,12 %), Lipované (0,84 %), Romové (0,84 %), Ukrajinci (0,58 %). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Rădăuți | [email protected] | 1.00 | infobox | |
| Rădăuți | Etnické složení | Rumuni (89,12 %), Lipované (0,84 %), Romové (0,84 %), Ukrajinci (0,58 %) | 1.00 | infobox |
| Rădăuți | Historické území | Bukovina | 1.00 | infobox |
| Rădăuți | Hustota zalidnění | 737,5 obyv./km² | 1.00 | infobox |
| Rădăuți | Nadmořská výška | 374 m n. m. | 1.00 | infobox |
| Rădăuți | Náboženské složení | křesťané (pravoslaví 75,14 %, letniční hnutí 10,07 %, římští katolíci 2,72 %) | 1.00 | infobox |
| Rădăuți | Oficiální web | primariaradauti.ro | 1.00 | infobox |
| Rădăuți | Označení vozidel | SV | 1.00 | infobox |
| Rădăuți | Počet obyvatel | 23 822 (2011) | 1.00 | infobox |
| Rădăuți | PSČ | 725400 | 1.00 | infobox |
| Rădăuți | Rozloha | 32,3 km² | 1.00 | infobox |
| Rădăuți | Souřadnice | 47°50′37″ s. š., 25°54′58″ v. d. | 1.00 | infobox |
| Rădăuți | Starosta | Bogdan Loghin | 1.00 | infobox |
| Rădăuți | Status | Město | 1.00 | infobox |
| Rădăuți | Stát | Rumunsko Rumunsko | 1.00 | infobox |
| Rădăuți | Telefonní předvolba | 230 | 1.00 | infobox |
| Rădăuți | Vznik | 1393 | 1.00 | infobox |
| Rădăuți | Časové pásmo | +2 | 1.00 | infobox |
| Rădăuți | Župa | Sučava | 1.00 | infobox |
The concept neighborhoods around Rădăuți bring nearby vocabulary together. In this analysis, examples include Sučava, Commons and Katedrála. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Rădăuți, one of the stronger structural bridges in this analysis connects Rădăuți with Overview. 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 Rădăuți to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Rădăuți · CS edition · Analysis: TopicsToTalkAbout