Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Most (opera): Instrumentace, Děj opery & Vznik a charakteristika

Most je antiopera ve dvou dílech (odděleních) českého skladatele Jarmila Burghausera na libreto Josefa Pávka (1919–1989).

Language: Czech [CS]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Most (opera) topic overview

The analysis highlights Instrumentace, Děj opery and Vznik a charakteristika as prominent areas in the source structure around Most (opera).

Related topics
37
Source areas
5
Connected nodes
42
Extracted relationships
7
Related term clusters
8
Bridge connections
42

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.

Instrumentace · 18 topics
Děj opery · 10 topics
Vznik a charakteristika · 4 topics
Odkazy · 3 topics
Overview · 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.

Datum vzniku
1964
Libretista
Josef Pávek
Originální jazyk
čeština
Počet dějství
2
Premiéra
31. března 1967, Praha, Národní divadlo
Skladatel
Jarmil Burghauser

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

Vznik a charakteristika

Děj opery

Instrumentace

Odkazy

For the semantics nerds

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

Advanced semantic analysis

How Most (opera) connects Entity context

The extracted context around Most (opera) shows recurring relationship patterns in the source. For example, Most (opera) → 1964 Another extracted example is Most (opera) → Josef Pávek. Use these groups to spot repeated connection types before inspecting the individual relationships.

Most (opera)

Top relations

Datum vzniku · 1
Most (opera) → 1964
Libretista · 1
Most (opera) → Josef Pávek
Originální jazyk · 1
Most (opera) → čeština
Počet dějství · 1
Most (opera) → 2
Premiéra · 1
Most (opera) → 31. března 1967, Praha, Národní divadlo
Skladatel · 1
Most (opera) → Jarmil Burghauser
Žánr · 1
Most (opera) → antiopera

Important terminology

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

Important terminology

jiří most roku obraz muž 1648 1966 opery praha antiopera 1967 burghauser opera vlasti straně mostu jiřího března jeho tři

Most (opera) relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around Most (opera). Examples in this analysis include Most (opera) → Datum vzniku → 1964 and Most (opera) → Libretista → Josef Pávek. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Most (opera)Datum vzniku19641.00infobox
Most (opera)LibretistaJosef Pávek1.00infobox
Most (opera)Originální jazykčeština1.00infobox
Most (opera)Počet dějství21.00infobox
Most (opera)Premiéra31. března 1967, Praha, Národní divadlo1.00infobox
Most (opera)SkladatelJarmil Burghauser1.00infobox
Most (opera)Žánrantiopera1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around Most (opera) bring nearby vocabulary together. In this analysis, examples include Svého, Muž and Josefa. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Most (opera)
    • Svého
    • Muž
    • Josefa
    • Libreto
    • Pávka
    • Skladatele
    • Jeho
    • Mu
    • Roce
    • Mostu
    • Opera
    • Straně
  • most (opera)
    • Svého
    • Muž
    • Josefa
    • Libreto
    • Pávka
    • Skladatele
    • Straně
    • Jeho
    • Mu
    • Roce
    • Mostu
    • Opera
  • děj opery
    • Datové
    • Divadlo
    • Národní
    • Položky
    • Prahy
    • Jeho
    • Praha
    • Roce
    • Tři
    • Mostu
    • Straně
    • Obraz
  • kamenného mostu
    • Prahy
    • Jiří
    • Roce
    • Straně
    • Muž
    • Obraz
    • Roku
    • Alena
    • Mu
    • Návrat
    • Svého
    • Opery
  • švédského obléhání prahy
    • Mostu
    • Obraz
    • Roku
    • Alena
    • Roce
    • Jiří
    • Straně
    • Muž
  • josefa pávka
    • Libreto
    • Pávka
    • Skladatele
    • Most
  • malé straně
    • Svého
    • Vlasti
  • opera
    • Straně

Connections between topic areas Semantic bridges

For Most (opera), one of the stronger structural bridges in this analysis connects Most (opera) with Instrumentace. 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
Most (opera) — Instrumentace · splits 24 ⟂ 19
Most (opera) — Děj opery · splits 32 ⟂ 11
Most (opera) — Vznik a charakteristika · splits 38 ⟂ 5
Most (opera) — Odkazy · splits 39 ⟂ 4
Most (opera) — Overview · splits 40 ⟂ 3

Map overview Semantic statistics

Most (opera)

Nodes43
Edges42
Triples7
Avg. degree1.95
Density0.046512
Components1

Source & methodology

TTTA analyzes the structure around Most (opera) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Instrumentace, Děj opery & Vznik a charakteristika, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Most (opera) · CS edition · Analysis: TopicsToTalkAbout

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

Monitor your Domain Rating with FrogDR