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Matching Mole: Overview, Related Topics & Entities

Matching Mole byla britská progresivní rocková skupina. Skupinu založil Robert Wyatt v roce 1971, když odešel ze Soft Machine. Dále ve skupině působili Dave Sinclair (klávesy), Phil Miller (kytara) a Bill McCormick (baskytara). Po vydání prvního alba s názvem Matching Mole (duben 1972) Sinclair odešel a nahradil ho Dave McRae (ten rovněž hrál na prvním…

Language: Czech [CS]
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Matching Mole topic overview

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

Related topics
10
Source areas
1
Connected nodes
11
Extracted relationships
12
Related term clusters
11
Bridge connections
11

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 · 10 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.

Aktivní roky
1971–1972
Příbuzná témata
Soft Machine, Hatfield and the North
Původ
Canterbury, Anglie
Vydavatel
CBS
Žánry
progresivní rock

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

For the semantics nerds

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

Advanced semantic analysis

How Matching Mole connects Entity context

The extracted context around Matching Mole shows recurring relationship patterns in the source. For example, Matching Mole → BBC Radio, Concert, Little Red Record, Live, March, Radio, Smoke Signals Another extracted example is Matching Mole → 1971–1972. Use these groups to spot repeated connection types before inspecting the individual relationships.

Matching Mole

Top relations

related to Diskografie · 7
Matching Mole → BBC Radio, Concert, Little Red Record, Live, March, Radio, Smoke Signals
Aktivní roky · 1
Matching Mole → 1971–1972
Příbuzná témata · 1
Matching Mole → Soft Machine, Hatfield and the North
Původ · 1
Matching Mole → Canterbury, Anglie
Vydavatel · 1
Matching Mole → CBS
Žánry · 1
Matching Mole → progresivní rock

Important terminology

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

Important terminology

1972 robert dave sinclair matching mole skupina odešel názvem jako host druhé album 1971 progresivní wyatt soft machine phil miller

Matching Mole relationships Subject–Predicate–Object triples

TTTA extracted 12 structured relationships around Matching Mole. Examples in this analysis include Matching Mole → Aktivní roky → 1971–1972 and Matching Mole → Příbuzná témata → Soft Machine, Hatfield and the North. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Matching MoleAktivní roky1971–19721.00infobox
Matching MolePříbuzná témataSoft Machine, Hatfield and the North1.00infobox
Matching MolePůvodCanterbury, Anglie1.00infobox
Matching MoleVydavatelCBS1.00infobox
Matching MoleŽánryprogresivní rock1.00infobox
Matching Molerelated to DiskografieLittle Red Record0.60section
Matching Molerelated to DiskografieBBC Radio0.60section
Matching Molerelated to DiskografieLive0.60section
Matching Molerelated to DiskografieConcert0.60section
Matching Molerelated to DiskografieSmoke Signals0.60section
Matching Molerelated to DiskografieMarch0.60section
Matching Molerelated to DiskografieRadio0.60section

Related concept clusters Related term clusters

The concept neighborhoods around Matching Mole bring nearby vocabulary together. In this analysis, examples include Mole, Mcrae and Progresivní. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Matching Mole
    • Mole
    • Mcrae
    • Progresivní
    • Dave
    • Sinclair
    • Britská
    • Datové
    • Položky
    • Rocková
    • The
    • Bill
    • Host
  • matching mole
    • Mole
    • Mcrae
    • Progresivní
    • Dave
    • Sinclair
    • Britská
    • Datové
    • Položky
    • Rocková
    • The
    • Bill
    • Host
  • robert wyatt
    • Soft
    • Machine
    • Wyatt
    • Datové
    • Položky
    • The
    • Založil
    • Ze
    • Bill
    • Little
    • Mccormick
    • Mcrae
  • soft machine
    • Soft
    • Wyatt
    • Robert
    • Datové
    • Položky
    • Roce
    • Skupinu
    • The
    • Založil
    • Ze
    • Bill
    • Little
  • dave sinclair
    • Sinclair
    • Bill
    • Mccormick
    • Mcrae
    • Miller
    • Phil
    • Matching
    • Mole
    • Datové
    • Dále
    • Klávesy
    • Kytara
  • bill mccormick
    • Mccormick
    • Miller
    • Phil
    • Dave
    • Sinclair
    • Datové
    • Dále
    • Klávesy
    • Kytara
    • Položky
    • Působili
    • Skupině
  • dave mcrae
    • Sinclair
    • Bill
    • Mccormick
    • Mcrae
    • Miller
    • Mole
    • Phil
    • Datové
    • Matching
    • Položky
    • The
    • Dále
  • robert fripp
    • Machine
    • Soft
    • Wyatt
    • Datové
    • Položky
    • Roce
    • Skupinu
    • The
    • Založil
    • Ze
    • Album
    • Bill

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Matching Mole map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Matching Mole

Nodes12
Edges11
Triples12
Avg. degree1.83
Density0.166667
Components1

Source & methodology

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

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