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Tomsk (rusky Томск) je město v Rusku, administrativní centrum stejnojmenné oblasti a také území, které se nachází na východě Západní Sibiře na břehu řeky Tom. Žije zde přibližně 545 tisíc obyvatel a společně s nedaleko vzdáleným městem Seversk tvoří Tomskou městskou aglomeraci s téměř 730 tisíci obyvateli.
The analysis highlights Historie, Geografie and Slavní rodáci as prominent areas in the source structure around Tomsk.
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 Tomsk shows recurring relationship patterns in the source. For example, Tomsk → Atlantiku, Bouře, Bývají, Doba, Hlavní, Klima, Maximální, Na, Průměrná, Roční, Střední Asie, Tomsku, Zima, Změna, Západosibiřské Another extracted example is Tomsk → Autorem, Byl, Dobrákovi, Jedním, Lentij Usov, Leontija Usova, Nápis, Památník, Pokud, Spisovatel, Tom, Tomsku. 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.
tomsku města nachází století město roce zde 19 oblasti tomská městě sibiře tomské tom seversk množství 18 obyvatel kůň kultury
TTTA extracted 137 structured relationships around Tomsk. Examples in this analysis include Tomsk → Federální okruh → Sibiřský and Tomsk → Hustota zalidnění → 1 848,5 obyv./km². The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Tomsk | Federální okruh | Sibiřský | 1.00 | infobox |
| Tomsk | Hustota zalidnění | 1 848,5 obyv./km² | 1.00 | infobox |
| Tomsk | Nadmořská výška | 110 m n. m. | 1.00 | infobox |
| Tomsk | Oblast | Tomská | 1.00 | infobox |
| Tomsk | Oficiální web | admin.tomsk.ru | 1.00 | infobox |
| Tomsk | Označení vozidel | 70 | 1.00 | infobox |
| Tomsk | Počet obyvatel | 544 566 (2025) | 1.00 | infobox |
| Tomsk | PSČ | 634000–634069 | 1.00 | infobox |
| Tomsk | Rozloha | 294,60 km² | 1.00 | infobox |
| Tomsk | Souřadnice | 56°29′19″ s. š., 84°57′8″ v. d. | 1.00 | infobox |
| Tomsk | Stát | Rusko Rusko | 1.00 | infobox |
| Tomsk | Telefonní předvolba | (+7)3822 | 1.00 | infobox |
| Tomsk | Vznik | 1604 | 1.00 | infobox |
| Tomsk | Časové pásmo | UTC+7 | 1.00 | infobox |
The concept neighborhoods around Tomsk bring nearby vocabulary together. In this analysis, examples include Města, Tomská and Století. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Tomsk, one of the stronger structural bridges in this analysis connects Tomsk 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 Tomsk to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Geografie & Slavní rodáci, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Tomsk · CS edition · Analysis: TopicsToTalkAbout