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Ključ: Overview, Related Topics & Entities

Ključ (srbsky Кључ, albánsky Kluç, turecky Klivaç) je město a sídlo stejnojmenné opčiny v Bosně a Hercegovině v Unsko-sanském kantonu. Nachází se asi 34 km severozápadně od Mrkonjić Gradu, 87 km jihozápadně od Bihaće a asi 182 km severozápadně od Sarajeva. V roce 2013 žilo v Ključi 5 409 obyvatel, v celé opčině pak 18 714 obyvatel.

Language: Czech [CS]
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Ključ topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Ključ.

Related topics
52
Source areas
1
Connected nodes
55
Extracted relationships
17
Concept neighborhoods
26
Bridge connections
55

What this topic covers Research coverage

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.

Overview · 52 topics

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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Administrativní dělení
41 sídel, z toho 10 opuštěných
Entita
Federace Bosny a Hercegoviny
Hustota zalidnění
52,3 obyv./km²
Kanton
Unsko-sanský
Oficiální web
opcina-kljuc.ba
Počet obyvatel
18 714 (2013)

Explore all related topics Closing gaps

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.

Overview

Reference

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Ključ connects Entity context

The extracted context around Ključ shows recurring relationship patterns in the source. For example, Ključ → Obrázky, Wikimedia Commons Another extracted example is Ključ → 41 sídel, z toho 10 opuštěných. Use these groups to spot repeated connection types before inspecting the individual relationships.

Ključ

Top relations

related to Externí odkazy · 2
Ključ → Obrázky, Wikimedia Commons
Administrativní dělení · 1
Ključ → 41 sídel, z toho 10 opuštěných
Entita · 1
Ključ → Federace Bosny a Hercegoviny
Hustota zalidnění · 1
Ključ → 52,3 obyv./km²
Kanton · 1
Ključ → Unsko-sanský
Oficiální web · 1
Ključ → opcina-kljuc.ba
Počet obyvatel · 1
Ključ → 18 714 (2013)
PSČ · 1
Ključ → 79 280
Rozloha · 1
Ključ → 358 km²
Souřadnice · 1
Ključ → 44°32′8″ s. š., 16°46′30″ v. d.

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

město opčiny sanica krasulje hadžići commons 409 biljani donji 2013 obyvatel 18 714 sídel pohled znak 44 32 16 46

Ključ relationships Subject–Predicate–Object triples

TTTA extracted 17 structured relationships around Ključ. Examples in this analysis include Ključ → Administrativní dělení → 41 sídel, z toho 10 opuštěných and Ključ → Entita → Federace Bosny a Hercegoviny. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
KljučAdministrativní dělení41 sídel, z toho 10 opuštěných1.00infobox
KljučEntitaFederace Bosny a Hercegoviny1.00infobox
KljučHustota zalidnění52,3 obyv./km²1.00infobox
KljučKantonUnsko-sanský1.00infobox
KljučOficiální webopcina-kljuc.ba1.00infobox
KljučPočet obyvatel18 714 (2013)1.00infobox
KljučPSČ79 2801.00infobox
KljučRozloha358 km²1.00infobox
KljučSouřadnice44°32′8″ s. š., 16°46′30″ v. d.1.00infobox
KljučStarostaNedžad Zukanović1.00infobox
KljučStatusMěsto1.00infobox
KljučStátBosna a Hercegovina Bosna a Hercegovina1.00infobox
KljučTelefonní předvolba+387 0371.00infobox
KljučČasové pásmo+11.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Ključ bring nearby vocabulary together. In this analysis, examples include Město, Biljani and Commons. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Ključ
    • Město
    • Biljani
    • Commons
    • Donji
    • Hadžići
    • Krasulje
    • Pohled
    • Sanica
    • Wikimedia
    • Znak
    • Bosna
    • Crljeni
  • ključ
    • Město
    • Biljani
    • Commons
    • Donji
    • Hadžići
    • Krasulje
    • Pohled
    • Sanica
    • Wikimedia
    • Znak
    • Bosna
    • Crljeni
  • ključ (općina)
    • Město
    • Biljani
    • Commons
    • Donji
    • Hadžići
    • Krasulje
    • Pohled
    • Sanica
    • Wikimedia
    • Znak
    • Bosna
    • Crljeni
  • sanica
    • Biljani
    • Donji
    • Hadžići
    • Krasulje
    • Crljeni
    • Dubočani
    • Hasići
    • Hripavci
    • Humići
    • Kamičak
    • Kopjenica
    • Korjenovo
  • hadžići
    • Biljani
    • Donji
    • Krasulje
    • Sanica
    • Crljeni
    • Dubočani
    • Hasići
    • Hripavci
    • Humići
    • Kamičak
    • Kopjenica
    • Korjenovo
  • biljani donji
    • Donji
    • Hadžići
    • Krasulje
    • Sanica
    • Crljeni
    • Dubočani
    • Hasići
    • Hripavci
    • Humići
    • Kamičak
    • Kopjenica
    • Korjenovo
  • biljani gornji
    • Donji
    • Hadžići
    • Krasulje
    • Sanica
    • Crljeni
    • Dubočani
    • Hasići
    • Hripavci
    • Humići
    • Kamičak
    • Kopjenica
    • Korjenovo
  • sanica donja
    • Biljani
    • Donji
    • Hadžići
    • Krasulje
    • Crljeni
    • Dubočani
    • Hasići
    • Hripavci
    • Humići
    • Kamičak
    • Kopjenica
    • Korjenovo

Connections between topic areas Semantic bridges

For Ključ, one of the stronger structural bridges in this analysis connects Ključ with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
KljučOverview · splits 3 ⟂ 53

Map overview Semantic statistics

Ključ

Nodes56
Edges55
Triples17
Avg. degree1.96
Density0.035714
Components1

Source & methodology

TTTA analyzes the structure around Ključ to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Ključ · CS edition · Analysis: TopicsToTalkAbout

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