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Háje (německy Haj) jsou městská čtvrť a katastrální území na východě městské části Praha 11, kterou tvoří společně s Chodovem.
The analysis highlights Doprava a zaměstnání, Služby and Historie Hájů as prominent areas in the source structure around Háje.
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 Háje shows recurring relationship patterns in the source. For example, Háje → Albert, Billa, Billa Stop, Chodově, Fazolku, Hviezdoslavova, Hájích, Hájů, Kulturní, Lidl, Lupínek, Mova, Multikino Cinema City Galaxie, MůjObchod, Normu, Obchodů, Opatovská, Opatově, Ovoce, Palas Athéna Another extracted example is Háje → Braník, Běchovice, Chodov, Dolní Měcholupy, Dubeč, Horní Měcholupy, Hostivař, Hromadnou, Hájích, Jižním Městě, Krč, Křeslice, Lipany, Malešice, Michle, Most, Muzeum, Petrovice, Pitkovice, Stanice Háje. 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.
roce hájích praha hájů 11 hostivař jižní město stanice území části praze chodov sídliště metra městské nákupní commons česko část
TTTA extracted 97 structured relationships around Háje. Examples in this analysis include Háje → Geodata (OSM) → OSM, WMF and Háje → Kód k. ú. → 728233. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Háje | Geodata (OSM) | OSM, WMF | 1.00 | infobox |
| Háje | Kód k. ú. | 728233 | 1.00 | infobox |
| Háje | Kód části obce | 400220 | 1.00 | infobox |
| Háje | Městská část | Praha 11 | 1.00 | infobox |
| Háje | Obec | Praha | 1.00 | infobox |
| Háje | Obvod | Praha 4 | 1.00 | infobox |
| Háje | Počet domů | 916 (2024) | 1.00 | infobox |
| Háje | Počet obyvatel | 22 059 (2021) | 1.00 | infobox |
| Háje | Počet ZSJ | 5 | 1.00 | infobox |
| Háje | PSČ | 149 00 | 1.00 | infobox |
| Háje | Správní obvod | Praha 11 | 1.00 | infobox |
| Háje | Stát | Česko Česko | 1.00 | infobox |
| Háje | Zeměpisné souřadnice | 50°1′51″ s. š., 14°31′41″ v. d. | 1.00 | infobox |
The concept neighborhoods around Háje bring nearby vocabulary together. In this analysis, examples include Stanice, Roce and Praha. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Háje, one of the stronger structural bridges in this analysis connects Háje with Doprava a zaměstnání. 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 Háje to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Doprava a zaměstnání, Služby & Historie Hájů, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Háje · CS edition · Analysis: TopicsToTalkAbout