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Stúpa: Galerie, Vývoj stúp & Stúpy v Česku
Stúpa (ze sanskrtského स्तूप; v páli thúpa, tibetsky མཆོད་རྟེན་, čhörten, čínsky 窣堵坡, 舍利塔, pinyin sūdǔpō, shèlìtǎ, thajsky สถูป, เจดีย์, sinhalsky දාගැබ්, dagoba) je buddhistická stavba, která je symbolem klidu a míru. Je naplněna buddhistickými relikviemi, například ostatky Buddhy. Nejstarší stúpy se nacházejí zejména v tradičně buddhistických zemích, v…
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Stúpa topic overview
The analysis highlights Galerie, Vývoj stúp and Stúpy v Česku as prominent areas in the source structure around Stúpa.
Related topics
55
Source areas
7
Connected nodes
62
Extracted relationships
54
Concept neighborhoods
18
Bridge connections
62
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.
Galerie · 15 topics
Overview · 14 topics
Vývoj stúp · 11 topics
Stúpy v Česku · 6 topics
Stúpy na Západě · 4 topics
Odkazy · 3 topics
Vznik stúp · 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.
Explore all related topics Closing gaps
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 Stúpa 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 Stúpa shows recurring relationship patterns in the source. For example, Stúpa → Buddhy, Centra, Centra Rabten, Ctihodného Geše Rabten Rinpočheho, Diamantové, Evropě, Gjalcchena, Inaugurace, Jde, Liberci, Mistrů, Oleho Nydahla, Plzně, Použitý, První, Stavba, Těnovicích, Vidžaja, Vítězná, Vítězné Another extracted example is Stúpa → Americe, Benalmádeně, Buddhismus, Byla, Dordže, Evropě, Gjalcchen, Jeho, Již, Karma Kagju, Lobpön Cečhu, Nepálu, Více, Západ, Západě. 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 54 structured relationships around Stúpa. Examples in this analysis include Stúpa → related to Externí odkazy → Obrázky and Stúpa → related to Externí odkazy → Wikimedia Commons Slovníkové. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Stúpa
related to Externí odkazy
Obrázky
0.60
section
Stúpa
related to Externí odkazy
Wikimedia Commons Slovníkové
0.60
section
Stúpa
related to Externí odkazy
WikislovníkuČhörten
0.60
section
Stúpa
related to Externí odkazy
Diamantové
0.60
section
Stúpa
related to Externí odkazy
Stránky
0.60
section
Stúpa
related to Externí odkazy
Největší
0.60
section
Stúpa
related to Externí odkazy
Indii
0.60
section
Stúpa
related to Externí odkazy
Svájambhú
0.60
section
Stúpa
related to Externí odkazy
Domovské
0.60
section
Stúpa
related to Externí odkazy
Stúpy
0.60
section
Stúpa
related to Stúpy na Západě
Buddhismus
0.60
section
Stúpa
related to Stúpy na Západě
Západ
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
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 Stúpa bring nearby vocabulary together. In this analysis, examples include Osvícení, Buddhistická and Cesty. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Stúpa
Osvícení
Buddhistická
Cesty
Sáňčí
Jeho
Čhörten
Stúpy
Dalších
Indii
Nejstarší
Stavět
Symbolem
stúpa
Osvícení
Buddhistická
Cesty
Sáňčí
Jeho
Čhörten
Stúpy
Dalších
Indii
Nejstarší
Stavět
Symbolem
stúpa osvícení
Osvícení
Stúpa
Jeho
Buddhistická
Stavět
Buddhismus
Cesty
Obětiny
Schránka
Sáňčí
Čhörten
Stúpy
stúpy na západě
Srí
Všech
Indie
Tibetu
Místa
Obětiny
Schránka
Sáňčí
Čhörten
Stúp
Relikviemi
Stavět
stúpy v česku
Srí
Všech
Indie
Tibetu
Místa
Obětiny
Schránka
Sáňčí
Čhörten
Stúp
Relikviemi
Stavět
buddhismu diamantové cesty
Indii
Buddhismus
Centra
Hodinových
Mysli
Obětiny
Ručiček
Schránka
Směru
Stúpu
Osvícení
Čhörten
buddhistická
Osvícení
Čhörten
Indii
Symbolem
Ze
Stúpa
Buddhismus
Cesty
Obětiny
Schránka
Stavba
Stúpy
indii
Dalších
Nejstarší
Nepálu
Tibetu
Buddhismus
Cesty
Obětiny
Schránka
Osvícení
Čhörten
Stúpy
Stúpa
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 Stúpa, one of the stronger structural bridges in this analysis connects Stúpa with Galerie. 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.
Stúpa
Nodes63
Edges62
Triples54
Avg. degree1.97
Density0.031746
Components1
Source & methodology
TTTA analyzes the structure around Stúpa to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Galerie, Vývoj stúp & Stúpy v Česku, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Stúpa · CS edition · Analysis: TopicsToTalkAbout
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