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Libáň (německy Liban) je město v okrese Jičín v Královéhradeckém kraji. Žije v něm přibližně 1 900 obyvatel.
The analysis highlights Pamětihodnosti, Městská správa and Historie as prominent areas in the source structure around Libáň.
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 Libáň shows recurring relationship patterns in the source. For example, Libáň → BorovskéhoPomník Mistra Jana Husa, Ducha, Ecce HomoSocha Panny Marie, František Ignác Prée, Ignác PalliardiSocha, ImmaculatySocha, Jana NepomuckéhoPomník Karla Havlíčka, Josefa, Kostel, Ladislava, Libáňská, Pardubic Another extracted example is Libáň → Academia Praha, Emanuel, In, ISSN, K-L, Od Ještěda, POCHE, Redaktorka Jarmila Krčálová, Troskám, Umělecké, Vladimíra. 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.
náměstí počet města město ledna jana husa 22 commons jičín česko obyvatel roku sochou 50 32 15 13 obce zdroje
TTTA extracted 54 structured relationships around Libáň. Examples in this analysis include Libáň → Adresa městského úřadu → náměstí Svobody 36 507 23 Libáň [email protected] and Libáň → Geodata (OSM) → OSM, WMF. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Libáň | Adresa městského úřadu | náměstí Svobody 36 507 23 Libáň [email protected] | 1.00 | infobox |
| Libáň | Geodata (OSM) | OSM, WMF | 1.00 | infobox |
| Libáň | Historická země | Čechy | 1.00 | infobox |
| Libáň | Kraj | Královéhradecký | 1.00 | infobox |
| Libáň | Kód obce | 573108 | 1.00 | infobox |
| Libáň | Nadmořská výška | 238 m n. m. | 1.00 | infobox |
| Libáň | Obec s rozšířenou působností | Jičín (správní obvod) | 1.00 | infobox |
| Libáň | Oficiální web | www.mestoliban.cz | 1.00 | infobox |
| Libáň | Okres | Jičín | 1.00 | infobox |
| Libáň | Pověřená obec | Kopidlno | 1.00 | infobox |
| Libáň | Počet domů | 734 (2021) | 1.00 | infobox |
| Libáň | Počet k. ú. | 4 | 1.00 | infobox |
| Libáň | Počet obyvatel | 1 868 (2025) | 1.00 | infobox |
| Libáň | Počet ZSJ | 5 | 1.00 | infobox |
| Libáň | Počet částí obce | 5 | 1.00 | infobox |
| Libáň | PSČ | 507 23 | 1.00 | infobox |
| Libáň | Rozloha | 19,67 km² | 1.00 | infobox |
| Libáň | Starosta | Petr Soukup | 1.00 | infobox |
| Libáň | Status | město | 1.00 | infobox |
| Libáň | Stát | Česko Česko | 1.00 | infobox |
| Libáň | Zeměpisné souřadnice | 50°22′32″ s. š., 15°13′ v. d. | 1.00 | infobox |
The concept neighborhoods around Libáň bring nearby vocabulary together. In this analysis, examples include Commons, Infoboxu and Oficiální. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Libáň, one of the stronger structural bridges in this analysis connects Libáň with Pamětihodnosti. 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 Libáň to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Pamětihodnosti, Městská správa & Historie, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Libáň · CS edition · Analysis: TopicsToTalkAbout