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Parâng: Popis hor a geologie, Vodstvo & Turistika
Parâng (čti ), též Munții Parângului, podle pravopisu platného do roku 1993 psáno Parîng, je druhé nejvyšší pohoří Rumunska. Nejvyšším vrcholem je Parângul Mare s výškou 2 519 m, který jako jediný přesahuje hranici 2 500 metrů a je čtvrtým nejvyšším vrcholem Rumunska. Tři další vrcholy přesahují 2 400 metrů (Gemănarea s 2 426 m, Stoienița s 2 421 m a…
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Parâng topic overview
The analysis highlights Popis hor a geologie, Vodstvo and Turistika as prominent areas in the source structure around Parâng.
Related topics
24
Source areas
4
Connected nodes
30
Extracted relationships
79
Related term clusters
20
Bridge connections
30
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.
Popis hor a geologie · 10 topics
Overview · 9 topics
Vodstvo · 3 topics
Turistika · 2 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.
Horniny
žula
Nadřazená jednotka
Jižní Karpaty
Nejvyšší bod
2 518 m n. m. (Parângul Mare)
Podřazené jednotky
Latorița
Povodí
Lotru, Olteț, Jiu
Sousední jednotky
Șureanu, Lotru, Căpățâni, Vâlcan, Retezat
Tematické okruhy
Prozkoumejte skupiny témat propojených ve zdrojovém textu. Vyberte si libovolné téma; okruhy nemají určené pořadí.
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.
You can skip this section if you’re here for content ideas and keyword inspiration.
Advanced semantic analysis
How Parâng 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 Parâng shows recurring relationship patterns in the source. For example, Parâng → Coasta, Hřeben Latoriței, Infrastruktura, Jieț, Jiu, Kapacinských, Krátkou, Latorița, Latorițe, Lotru, Mija Mare, Nejvýznamnější, Několik, Parângu, Polatiștea, Pravděpodobně, Rudâreasa, Rus, Sadul, Spodní Another extracted example is Parâng → Cârja, Căpățînii, Etapa, Hřebenovka, Kapacinských, Kapaciny, Malý Parâng, Menší, Napojovací, Nízkých Tater, Oblíbenou, Parângu, Retezatu, Rânca, Spát, Urdele, Většinou, Značení. Use these groups to spot repeated connection types before inspecting the individual relationships.
Parâng
Top relations
related to Soutěsky· 23
Parâng → Coasta, Hřeben Latoriței, Infrastruktura, Jieț, Jiu, Kapacinských, Krátkou, Latorița, Latorițe, Lotru, Mija Mare, Nejvýznamnější, Několik, Parângu, Polatiștea, Pravděpodobně, Rudâreasa, Rus, Sadul, Spodní
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 79 structured relationships around Parâng. Examples in this analysis include Parâng → Horniny → žula and Parâng → Nadřazená jednotka → Jižní Karpaty. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Parâng
Horniny
žula
1.00
infobox
Parâng
Nadřazená jednotka
Jižní Karpaty
1.00
infobox
Parâng
Nejvyšší bod
2 518 m n. m. (Parângul Mare)
1.00
infobox
Parâng
Podřazené jednotky
Latorița
1.00
infobox
Parâng
Povodí
Lotru, Olteț, Jiu
1.00
infobox
Parâng
Sousední jednotky
Șureanu, Lotru, Căpățâni, Vâlcan, Retezat
1.00
infobox
Parâng
Souřadnice
45°18′30″ s. š., 23°32′30″ v. d.
1.00
infobox
Parâng
Stát
Rumunsko Rumunsko
1.00
infobox
Parâng
Světadíl
Evropa
1.00
infobox
Parâng
related to Popis hor a geologie
Hlavní
0.60
section
Parâng
related to Popis hor a geologie
Curmatura Oltetului
0.60
section
Parâng
related to Popis hor a geologie
Căpățâni
0.60
section
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters 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 Parâng bring nearby vocabulary together. In this analysis, examples include Pohoří, Rumunských and Lotru. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
parângul mare
Parângul
Metrů
Řeky
Șureanu
Hor
Jieț
Horou
Nejvyšší
Cârja
Několik
Část
Jiu
setea mare
Parângul
Metrů
Șureanu
Hor
Nejvyšší
Cârja
Horou
Několik
Část
Latorița
Jiu
Lotru
zănoaga mare
Parângul
Metrů
Șureanu
Hor
Nejvyšší
Cârja
Horou
Několik
Část
Latorița
Jiu
Lotru
popis hor a geologie
Parângul
Mare
Rumunských
Část
Několik
Lotru
Șureanu
Parângu
Nachází
Parâng
Horských
Nejvyšší
șureanu
Lotru
Mare
Severu
Latorița
Parâng
Hor
Parângul
To
Hřeben
Câlcescu
Pohoří
Nejvyšší
latorița
To
Severu
Lotru
Řeky
Șureanu
Hřeben
Mare
Nachází
Nejvyšší
Pramení
Hřebenem
Jihu
Parâng
Pohoří
Rumunských
Lotru
Řeky
Șureanu
Parângul
Metrů
Horou
Masiv
Jiu
Hor
To
parâng
Pohoří
Rumunských
Lotru
Řeky
Șureanu
Parângul
Metrů
Horou
Masiv
Jiu
Hor
To
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 Parâng, one of the stronger structural bridges in this analysis connects Parâng with Popis hor a geologie. 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
Parâng — Popis hor a geologie· splits 20 ⟂ 11Parâng — Overview· splits 21 ⟂ 10Parâng — Vodstvo· splits 27 ⟂ 4Parâng — Turistika· splits 28 ⟂ 3
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Parâng
Nodes31
Edges30
Triples79
Avg. degree1.94
Density0.064516
Components1
Source & methodology
TTTA analyzes the structure around Parâng to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Popis hor a geologie, Vodstvo & Turistika, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
