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Cicikar

Cicikar, též Čchi-čchi-cha-er (čínsky pchin-jinem Qíqíhāěr, znaky 齐齐哈尔) je městská prefektura v Čínské lidové republice. Patří k provincii Chej-lung-ťiang.

[CS, Czech, Čeština]

Partnerská města, Správní členění & Overview

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Research this topic

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

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

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

Hustota zalidnění
96,3 obyv./km²
Nadmořská výška
147 m n. m.
Oficiální web
www.qqhr.gov.cn
Označení vozidel
黑B
Počet obyvatel
4 067 489 (2020)
provincie
Chej-lung-ťiang

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

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

Overview

Správní členění

Partnerská města

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.

Map overview Semantic statistics

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Cicikar

Nodes29
Edges28
Triples17
Avg. degree1.93
Density0.068966
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

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

Cicikar

Top relations

related to Externí odkazy · 2
Cicikar → Obrázky, Wikimedia Commons
Hustota zalidnění · 1
Cicikar → 96,3 obyv./km²
Nadmořská výška · 1
Cicikar → 147 m n. m.
Oficiální web · 1
Cicikar → www.qqhr.gov.cn
Označení vozidel · 1
Cicikar → 黑B
Počet obyvatel · 1
Cicikar → 4 067 489 (2020)
provincie · 1
Cicikar → Chej-lung-ťiang
PSČ · 1
Cicikar → 161000
Rozloha · 1
Cicikar → 42 255,46 km²
Souřadnice · 1
Cicikar → 47°21′ s. š., 123°55′ v. d.

Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

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

Important terminology

čchi-čchi-cha-er prefektura chej-lung-ťiang commons čína 42 147 2020 obyvatel městská 47 21 123 55 datové položky wikimedia čínsky pchin-jinem znaky

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
CicikarHustota zalidnění96,3 obyv./km²1.00infobox
CicikarNadmořská výška147 m n. m.1.00infobox
CicikarOficiální webwww.qqhr.gov.cn1.00infobox
CicikarOznačení vozidel黑B1.00infobox
CicikarPočet obyvatel4 067 489 (2020)1.00infobox
CicikarprovincieChej-lung-ťiang1.00infobox
CicikarPSČ1610001.00infobox
CicikarRozloha42 255,46 km²1.00infobox
CicikarSouřadnice47°21′ s. š., 123°55′ v. d.1.00infobox
CicikarStarostaLi Ju-kang(李玉刚)1.00infobox
CicikarStátČína Čína1.00infobox
CicikarTelefonní předvolba04521.00infobox
CicikarVznik16911.00infobox
CicikarČasové pásmoUTC+81.00infobox

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

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

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.