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Váh (maďarsky Vág, německy Waag) je nejdelší řeka Slovenska, která protéká čtyřmi kraji (Žilinský, Trenčínský, Trnavský, Nitranský). Jde o levý přítok Dunaje. Jeho délka činí 403 km. Povodí má rozlohu 10 640 km².
The analysis highlights Využití, Města na Váhu and Přítoky Váhu as prominent areas in the source structure around Váh.
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.
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The extracted context around Váh shows recurring relationship patterns in the source. For example, Váh → Bešeňová, Drahovce, Dubnica, Horná Streda, Hričov, Ilava, Kostolná, Krpeľany, Kráľová, Ladce, Lipovec, Liptovská Mara, Madunice, Mikšová, Nosice, Nové Mesto, Orava, Oravě, Považská Bystrica, Priehrada Another extracted example is Váh → BytčaTrenčínský, Dubnica, Hlohovec, Ilava, Kolárovo, Kompletní, Komárno, Leopoldov, Liptovský Hrádok, Liptovský Mikuláš, Nemšová, Nové Mesto, Piešťany, Považská Bystrica, Púchov, Ružomberok, SereďNitranský, Seznam, Trenčín, Turany. 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.
řeka dunaje váhu povodí žilinský trenčínský trnavský nitranský váhom commons žilina selice vodní piešťan slovensko délka 403 km km² toku
TTTA extracted 113 structured relationships around Váh. Examples in this analysis include Váh → Délka toku → 403 km and Váh → OpenStreetMap → OSM, WMF. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Váh | Délka toku | 403 km | 1.00 | infobox |
| Váh | OpenStreetMap | OSM, WMF | 1.00 | infobox |
| Váh | Plocha povodí | 10640 km² | 1.00 | infobox |
| Váh | Průměrný průtok | 152 m³/s | 1.00 | infobox |
| Váh | Světadíl | Evropa | 1.00 | infobox |
| Váh | related to Města na Váhu | Kompletní | 0.60 | section |
| Váh | related to Města na Váhu | Váhu | 0.60 | section |
| Váh | related to Města na Váhu | Seznam | 0.60 | section |
| Váh | related to Města na Váhu | Liptovský Hrádok | 0.60 | section |
| Váh | related to Města na Váhu | Liptovský Mikuláš | 0.60 | section |
| Váh | related to Města na Váhu | Ružomberok | 0.60 | section |
| Váh | related to Města na Váhu | Turany | 0.60 | section |
The concept neighborhoods around Váh bring nearby vocabulary together. In this analysis, examples include Bílý, Černý and Nitranský. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Váh, one of the stronger structural bridges in this analysis connects Váh with Využití. 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 Váh to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Využití, Města na Váhu & Přítoky Váhu, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Váh · CS edition · Analysis: TopicsToTalkAbout
