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Kankan

Kankan je třetí nejlidnatější město v Guineji, rozlohou je dokonce největší. Je hlavním městem stejnojmenné prefektury a regionu.

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Explore the main themes, entities and connections around Kankan. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Overview

4 related topics

Key facts & relationships

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

Počet obyvatel
193 830 (2014)
Souřadnice
10°23′ s. š., 9°18′ z. d.
Stát
Guinea Guinea
Časové pásmo
UTC

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

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.

Map overview Semantic statistics

Kankan

Nodes6
Edges5
Triples6
Avg. degree1.67
Density0.333333
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Kankan

Top relations

related to Externí odkazy · 2
Kankan → Obrázky, Wikimedia Commons
Počet obyvatel · 1
Kankan → 193 830 (2014)
Souřadnice · 1
Kankan → 10°23′ s. š., 9°18′ z. d.
Stát · 1
Kankan → Guinea Guinea
Časové pásmo · 1
Kankan → UTC

Important terminology Word statistics

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

Important terminology

commons město nachází guinea obyvatel 10 23 18 datové položky wikimedia guineji niger 1996 africe třetí nejlidnatější rozlohou dokonce největší

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
KankanPočet obyvatel193 830 (2014)1.00infobox
KankanSouřadnice10°23′ s. š., 9°18′ z. d.1.00infobox
KankanStátGuinea Guinea1.00infobox
KankanČasové pásmoUTC1.00infobox
Kankanrelated to Externí odkazyObrázky0.60section
Kankanrelated to Externí odkazyWikimedia Commons0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

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    Min side: 3
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