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Dinan: Overview, Related Topics & Entities

Dinan je francouzská obec v departementu Côtes-d'Armor v regionu Bretaň. V roce 2009 zde žilo 10 819 obyvatel. Je centrem arrondissementu Dinan a kantonů kantonu Dinan-Est a Dinan-Ouest.

Language: Czech [CS]
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Dinan topic overview

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

Related topics
7
Source areas
1
Connected nodes
10
Extracted relationships
14
Related term clusters
10
Bridge connections
10

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 · 7 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.

Arrondissement
Dinan
Departement
Côtes-d’Armor
Hustota zalidnění
2 718,3 obyv./km²
INSEE
22050
Kanton
Dinan-Est Dinan-Ouest
Nadmořská výška
7–92 m n. m.

Tematické okruhy

Prozkoumejte skupiny témat propojených ve zdrojovém textu. Vyberte si libovolné téma; okruhy nemají určené pořadí.

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

Související články

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Dinan connects Entity context

The extracted context around Dinan shows recurring relationship patterns in the source. For example, Dinan → Dinan Another extracted example is Dinan → Côtes-d’Armor. Use these groups to spot repeated connection types before inspecting the individual relationships.

Dinan

Top relations

Arrondissement · 1
Dinan → Dinan
Departement · 1
Dinan → Côtes-d’Armor
Hustota zalidnění · 1
Dinan → 2 718,3 obyv./km²
INSEE · 1
Dinan → 22050
Kanton · 1
Dinan → Dinan-Est Dinan-Ouest
Nadmořská výška · 1
Dinan → 7–92 m n. m.
Oficiální web · 1
Dinan → www.mairie-dinan.com
Počet obyvatel · 1
Dinan → 10 819 (2010)
PSČ · 1
Dinan → 22100
Region · 1
Dinan → Bretaň

Important terminology

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

Important terminology

obyvatel bretaň dinan-ouest commons dinan-est francie 10 819 departementu znak 48 27 23 56 datové položky côtes-d’armor wikimedia côtes-d'armor 2009

Dinan relationships Subject–Predicate–Object triples

TTTA extracted 14 structured relationships around Dinan. Examples in this analysis include Dinan → Arrondissement → Dinan and Dinan → Departement → Côtes-d’Armor. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
DinanArrondissementDinan1.00infobox
DinanDepartementCôtes-d’Armor1.00infobox
DinanHustota zalidnění2 718,3 obyv./km²1.00infobox
DinanINSEE220501.00infobox
DinanKantonDinan-Est Dinan-Ouest1.00infobox
DinanNadmořská výška7–92 m n. m.1.00infobox
DinanOficiální webwww.mairie-dinan.com1.00infobox
DinanPočet obyvatel10 819 (2010)1.00infobox
DinanPSČ221001.00infobox
DinanRegionBretaň1.00infobox
DinanRozloha3,98 km²1.00infobox
DinanSouřadnice48°27′23″ s. š., 2°2′56″ z. d.1.00infobox
DinanStátFrancie Francie1.00infobox
DinanVznik20181.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around Dinan bring nearby vocabulary together. In this analysis, examples include Bretaň, Departementu and Dinan-est. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • arrondissementu dinan
    • Centrem
    • Kantonu
    • Kantonů
    • Bretaň
    • Departementu
    • Dinan-est
    • Dinan-ouest
    • Arrondissementu
    • Commons
    • Côtes-d'armor
    • Côtes-d’armor
    • Datové
  • Dinan
    • Bretaň
    • Departementu
    • Dinan-est
    • Dinan-ouest
    • Arrondissementu
    • Centrem
    • Commons
    • Côtes-d'armor
    • Côtes-d’armor
    • Datové
    • Francie
    • Francouzská
  • dinan
    • Bretaň
    • Departementu
    • Dinan-est
    • Dinan-ouest
    • Arrondissementu
    • Centrem
    • Commons
    • Côtes-d'armor
    • Côtes-d’armor
    • Datové
    • Francie
    • Francouzská
  • seznam obcí v departementu côtes-d’armor
    • Bretaň
    • Commons
    • Datové
    • Francie
    • Položky
    • Wikimedia
    • Dinan
    • Côtes-d'armor
    • Côtes-d’armor
    • Departementu
    • Dinan-est
    • Dinan-ouest
  • bretaň
    • Departementu
    • Dinan
    • Commons
    • Côtes-d'armor
    • Côtes-d’armor
    • Datové
    • Francie
    • Francouzská
    • Obec
    • Položky
    • Regionu
    • Wikimedia
  • kantonu dinan-est
    • Dinan-ouest
    • Kantonů
    • Commons
    • Côtes-d’armor
    • Datové
    • Dinan-est
    • Francie
    • Kantonu
    • Položky
    • Wikimedia
    • Znak
    • Obyvatel
  • dinan-ouest
    • Commons
    • Côtes-d’armor
    • Datové
    • Francie
    • Kantonu
    • Kantonů
    • Položky
    • Wikimedia
    • Znak
    • Obyvatel
  • související články
    • Externí
    • Odkazy
    • Počtu
    • Reference
    • Související
    • Vývoj
    • Články
    • Znak
    • Obyvatel

Connections between topic areas Semantic bridges

For Dinan, one of the stronger structural bridges in this analysis connects Dinan 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
Dinan — Overview · splits 3 ⟂ 8

Map overview Semantic statistics

Dinan

Nodes11
Edges10
Triples14
Avg. degree1.82
Density0.181818
Components1

Source & methodology

TTTA analyzes the structure around Dinan 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 — Dinan · CS edition · Analysis: TopicsToTalkAbout

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