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Vilnius (; dříve česky Vilno, německy Wilna, polsky Wilno, bělorusky Вільня, rusky Вильнюс (před rokem 1918 Вильна), v jidiš ווילנע ) je hlavní město Litvy. Ve městě žije přibližně 581 tisíc obyvatel, 58 % tvoří Litevci, 19 % Poláci, 14 % Rusové, 4 % Bělorusové, 0,5 % Židé a 5 % ostatní národnosti. Rozloha města činí asi 400 km², 3,6 km² z této plochy…
The analysis highlights Historie, Osobnosti and Partnerská města as prominent areas in the source structure around Vilnius.
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 Vilnius shows recurring relationship patterns in the source. For example, Vilnius → A1, A14, A15, A16, A2, A3, A4, Vilnius-Grodno, Vilnius-Kaunas-Klaipėda, Vilnius-Lida, Vilnius-Marijampolė, Vilnius-Minsk, Vilnius-Panevėžys, Vilnius-Utena Another extracted example is Vilnius → Gediminas, Gediminasem, Hradním, Jagellem, Když, Litevská, Nejstarší, Název, Oblast Vilniusu, Polska, Viliji, Vilniusem, Vilniusu, Vladislavem II. 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.
město vilniusu města roce obyvatel hlavním městem 19 14 litva kostel hlavní století litvy městě tisíc doprava centrum stal univerzita
TTTA extracted 65 structured relationships around Vilnius. Examples in this analysis include Vilnius → Hustota zalidnění → 1 450,1 obyv./km² and Vilnius → Kraj → Vilniuský. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Vilnius | Hustota zalidnění | 1 450,1 obyv./km² | 1.00 | infobox |
| Vilnius | Kraj | Vilniuský | 1.00 | infobox |
| Vilnius | Kritérium | ii, iv | 1.00 | infobox |
| Vilnius | Nadmořská výška | 112 m n. m. | 1.00 | infobox |
| Vilnius | Název lokality | historické centrum Vilniusu | 1.00 | infobox |
| Vilnius | Odkaz | 541 (anglicky) | 1.00 | infobox |
| Vilnius | Oficiální web | www.vilnius.lt | 1.00 | infobox |
| Vilnius | Okres | městský okres | 1.00 | infobox |
| Vilnius | Počet obyvatel | 581 475 (2023) | 1.00 | infobox |
| Vilnius | PSČ | 01001–14191 | 1.00 | infobox |
| Vilnius | Rozloha | 401 km² | 1.00 | infobox |
| Vilnius | Souřadnice | 54°41′14″ s. š., 25°16′48″ v. d. | 1.00 | infobox |
| Vilnius | Starosta | Remigijus Šimašius | 1.00 | infobox |
| Vilnius | Stát | Litva Litva | 1.00 | infobox |
| Vilnius | Telefonní předvolba | (+370) 5 | 1.00 | infobox |
| Vilnius | Typ | kulturní dědictví | 1.00 | infobox |
| Vilnius | Vznik | 13. století | 1.00 | infobox |
| Vilnius | Zařazení | 1994 (18. zasedání) | 1.00 | infobox |
The concept neighborhoods around Vilnius bring nearby vocabulary together. In this analysis, examples include Městem, Hlavním and Polské. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Vilnius, one of the stronger structural bridges in this analysis connects Vilnius 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 Vilnius to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Osobnosti & Partnerská města, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Vilnius · CS edition · Analysis: TopicsToTalkAbout