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Deva (maďarsky Déva, německy Diemrich) je město v rumunské župě Hunedoara, na řece Mureș a zároveň jejím hlavním městem. Ve městě žije přibližně 53 tisíc obyvatel.
The analysis highlights Historie, Ekonomika and Odkazy as prominent areas in the source structure around Deva.
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 Deva shows recurring relationship patterns in the source. For example, Deva → Betlenův, Castrum Deva, Dewan, Existují, Gabriel Betlen, Jánose Hunyadiho, Magna Curia, Na, Název, Osmané, Pelendava, Piroboridava, Poničili, První, Za, Zargidava Another extracted example is Deva → Devawww, Déva, Obrázky, Ottově, Wikimedia Commons Encyklopedické, WikizdrojíchStaré. 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.
hunedoara commons rumunsko 53 obyvatel město města městě znak 45 52 19 22 54 42 datové položky pevnost www e-deva
TTTA extracted 36 structured relationships around Deva. Examples in this analysis include Deva → E-mail → [email protected] and Deva → Etnické složení → Rumuni, Maďaři. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Deva | [email protected] | 1.00 | infobox | |
| Deva | Etnické složení | Rumuni, Maďaři | 1.00 | infobox |
| Deva | Hustota zalidnění | 1 562,1 obyv./km² | 1.00 | infobox |
| Deva | Nadmořská výška | 187 m n. m. | 1.00 | infobox |
| Deva | Náboženské složení | pravoslaví, římskokatolické | 1.00 | infobox |
| Deva | Oficiální web | www.e-deva.ro | 1.00 | infobox |
| Deva | Počet obyvatel | 53 113 (2021) | 1.00 | infobox |
| Deva | PSČ | 330005–330260 | 1.00 | infobox |
| Deva | Rozloha | 34 km² | 1.00 | infobox |
| Deva | Souřadnice | 45°52′19″ s. š., 22°54′42″ v. d. | 1.00 | infobox |
| Deva | Starosta | Mircia Muntean | 1.00 | infobox |
| Deva | Stát | Rumunsko Rumunsko | 1.00 | infobox |
| Deva | Vznik | 1269 | 1.00 | infobox |
| Deva | Župa | Hunedoara | 1.00 | infobox |
The concept neighborhoods around Deva bring nearby vocabulary together. In this analysis, examples include Commons, E-deva and Hunedoara. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Deva, one of the stronger structural bridges in this analysis connects Deva 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 Deva to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Ekonomika & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Deva · CS edition · Analysis: TopicsToTalkAbout