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Danang (vietnamsky Đà Nẵng, francouzský název Tourane) je město ve středním Vietnamu. Je šestým největším městem a třetím největším námořním přístavem země. Největší atrakcí města je Muzeum čamského sochařství, založené Francouzi již v roce 1915.
The analysis highlights Historie, Partnerská města and Overview as prominent areas in the source structure around Danang.
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 Danang shows recurring relationship patterns in the source. For example, Danang → Indočíně, Právě, Quang Nam, Rozloha, Spojených, Středočeského, Tourane, Vietnamu, Za Another extracted example is Danang → Obrázky, Statistical Handbook, Statistická, Vietnam, Vietnamu, Wikimedia Commons. 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.
města vietnamu roce vietnam commons vietnamsky město francouzské đà nẵng tourane největší koláž významných památek budov znak 16 10 108
TTTA extracted 28 structured relationships around Danang. Examples in this analysis include Danang → Geodata (OSM) → OSM, WMF and Danang → Hustota zalidnění → 237,8 obyv./km². The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Danang | Geodata (OSM) | OSM, WMF | 1.00 | infobox |
| Danang | Hustota zalidnění | 237,8 obyv./km² | 1.00 | infobox |
| Danang | ISO 3166-2 | VN-DN | 1.00 | infobox |
| Danang | Oficiální web | www.danang.gov.vn | 1.00 | infobox |
| Danang | Počet obyvatel | 2 819 900 (2024) | 1.00 | infobox |
| Danang | Rozloha | 11 860 km² | 1.00 | infobox |
| Danang | Souřadnice | 16°4′10″ s. š., 108°12′35″ v. d. | 1.00 | infobox |
| Danang | Stát | Vietnam Vietnam | 1.00 | infobox |
| Danang | Telefonní předvolba | 5113 a 236 | 1.00 | infobox |
| Danang | related to Externí odkazy | Obrázky | 0.60 | section |
| Danang | related to Externí odkazy | Wikimedia Commons | 0.60 | section |
| Danang | related to Externí odkazy | Statistická | 0.60 | section |
The concept neighborhoods around Danang bring nearby vocabulary together. In this analysis, examples include Vietnamu, Commons and Km². Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Danang, one of the stronger structural bridges in this analysis connects Danang with Partnerská města. 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 Danang to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Partnerská města & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Danang · CS edition · Analysis: TopicsToTalkAbout