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Knin: Historie, Sport & Partnerská města
Knin je město v Chorvatsku, v Dalmácii, 56 km od pobřeží Jaderského moře. Městem protéká řeka Krka, která 3 km východně odtud i pramení. V roce 2021 žilo v samotném Kninu 8 262 obyvatel, v celé připadající městské opčině pak 11 633 obyvatel. Město leží na železniční trase Záhřeb–Split.
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Knin topic overview
The analysis highlights Historie, Sport and Partnerská města as prominent areas in the source structure around Knin.
Related topics
66
Source areas
6
Connected nodes
72
Extracted relationships
110
Concept neighborhoods
16
Bridge connections
72
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.
Historie · 39 topics
Sport · 8 topics
Overview · 7 topics
Partnerská města · 6 topics
Doprava · 5 topics
Název · 1 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.
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Knin connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Knin shows recurring relationship patterns in the source. For example, Knin → A1, B1, Bihać, Chorvatska Záhřebu, D1, Dalmácie, Elektrifikace, Je, Karlovacu, Knin-Bihać, Kninem, Kninu, M604, Martina Broda, Nejdůležitější, Ogulinu, Perkoviće, Přepravu, Silnice, Sisak Another extracted example is Knin → Bitvy, Během, Chorvati, Chorvatsku, Chorvatská, Chorvaty, Dalmácie, Do, Kosovu, Kosově, Krajina, Memoranda SANU, Na, Operace Oluja, Po, Poté, Předseda, Republiku, Slobodana Miloševiće, Srbská. Use these groups to spot repeated connection types before inspecting the individual relationships.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 110 structured relationships around Knin. Examples in this analysis include Knin → Etnické složení → Chorvati (75,37 %), Srbové (23,05 %), Albánci (0,27 %), Bosňáci (0,14 %) and Knin → Hustota zalidnění → 32,8 obyv./km². The table shows each extracted connection, where it came from and its confidence.
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Knin bring nearby vocabulary together. In this analysis, examples include Dalmácie, Poté and Město. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Knin
Dalmácie
Poté
Město
Commons
Pobřeží
Chorvatsko
Pohled
Záhřeb
Města
Století
Kninu
Obyvatel
knin
Dalmácie
Poté
Město
Commons
Pobřeží
Chorvatsko
Pohled
Záhřeb
Města
Století
Kninu
Obyvatel
chorvati
Roku
Město
Commons
Obyvatel
Pevnosti
Složení
Znak
Chorvatsko
Dalmácie
Pohled
Let
Název
partnerská města
Pohled
Split
Commons
Pevnosti
Složení
Znak
Chorvatsko
Dalmácie
Začala
Záhřeb
Název
Poté
název
Pevnosti
Složení
Znak
Pohled
Commons
Obyvatel
Století
Chorvatsko
Dalmácie
Chorvati
Města
1. století př. n. l.
Během
Znak
Zde
Roku
Commons
Chorvatsko
Dalmácie
Městem
Chorvati
Let
10. století
Během
Znak
Zde
Roku
Commons
Chorvatsko
Dalmácie
Městem
Chorvati
Let
11. století
Během
Znak
Zde
Roku
Commons
Chorvatsko
Dalmácie
Městem
Chorvati
Let
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Knin, one of the stronger structural bridges in this analysis connects Knin with Historie. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Knin
Nodes73
Edges72
Triples110
Avg. degree1.97
Density0.027397
Components1
Source & methodology
TTTA analyzes the structure around Knin to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Sport & Partnerská města, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Knin · CS edition · Analysis: TopicsToTalkAbout
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