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Killing Machine: Sestava & Overview

Killing Machine je pátým albem heavy metalové legendy Judas Priest a v USA se prodává pod názvem Hell Bent for Leather. Deska vyšla 1978 u společnosti Columbia Records a produkci tentokrát do svých rukou vzal James Guthrie. V roce 2001 bylo remasterováno a přidány bonusy, stejně jako tomu bylo u dalších 11 řadových alb Judas Priest a dvou výběrů. Bylo ke…

Language: Czech [CS]
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Killing Machine topic overview

The analysis highlights Sestava and Overview as prominent areas in the source structure around Killing Machine.

Related topics
10
Source areas
2
Connected nodes
12
Extracted relationships
9
Concept neighborhoods
7
Bridge connections
12

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 · 5 topics
Sestava · 5 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.

Druh alba
Studiové album
Délka
35:06 (Killing Machine) 38:30 (Hell Bent For Leather)
Interpret
Judas Priest
Jazyk
angličtina
Nahráno
1978 v Utopia, Basing Street a CBS Studios v Londýně
Producent
James Guthrie & Judas Priest

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

Sestava

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Killing Machine connects Entity context

The extracted context around Killing Machine shows recurring relationship patterns in the source. For example, Killing Machine → Studiové album Another extracted example is Killing Machine → 35:06 (Killing Machine) 38:30 (Hell Bent For Leather). Use these groups to spot repeated connection types before inspecting the individual relationships.

Killing Machine

Top relations

Druh alba · 1
Killing Machine → Studiové album
Délka · 1
Killing Machine → 35:06 (Killing Machine) 38:30 (Hell Bent For Leather)
Interpret · 1
Killing Machine → Judas Priest
Jazyk · 1
Killing Machine → angličtina
Nahráno · 1
Killing Machine → 1978 v Utopia, Basing Street a CBS Studios v Londýně
Producent · 1
Killing Machine → James Guthrie & Judas Priest
Vydavatelství · 1
Killing Machine → Columbia Records
Vydáno · 1
Killing Machine → 9. října 1978 (UK) 28. února 1979 (USA)
Žánr · 1
Killing Machine → Heavy metal

Important terminology

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

Important terminology

judas priest 1978 for jako alb 2001 usa bonusy killing machine heavy hell bent leather columbia records james guthrie album

Killing Machine relationships Subject–Predicate–Object triples

TTTA extracted 9 structured relationships around Killing Machine. Examples in this analysis include Killing Machine → Druh alba → Studiové album and Killing Machine → Délka → 35:06 (Killing Machine) 38:30 (Hell Bent For Leather). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Killing MachineDruh albaStudiové album1.00infobox
Killing MachineDélka35:06 (Killing Machine) 38:30 (Hell Bent For Leather)1.00infobox
Killing MachineInterpretJudas Priest1.00infobox
Killing MachineJazykangličtina1.00infobox
Killing MachineNahráno1978 v Utopia, Basing Street a CBS Studios v Londýně1.00infobox
Killing MachineProducentJames Guthrie & Judas Priest1.00infobox
Killing MachineVydavatelstvíColumbia Records1.00infobox
Killing MachineVydáno9. října 1978 (UK) 28. února 1979 (USA)1.00infobox
Killing MachineŽánrHeavy metal1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Killing Machine bring nearby vocabulary together. In this analysis, examples include Bent, For and Heavy. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Killing Machine
    • Bent
    • For
    • Heavy
    • Hell
    • Leather
    • Machine
    • Usa
    • Albem
    • Datové
    • Judas
    • Legendy
    • Metalové
  • killing machine
    • Bent
    • For
    • Heavy
    • Hell
    • Leather
    • Machine
    • Usa
    • Albem
    • Datové
    • Judas
    • Legendy
    • Metalové
  • heavy metalové
    • Bent
    • For
    • Hell
    • Killing
    • Leather
    • Machine
    • Názvem
    • Prodává
    • Pátým
    • Usa
    • Datové
    • Judas
  • judas priest
    • Priest
    • Album
    • Bent
    • Bonusy
    • For
    • Hell
    • Killing
    • Leather
    • Machine
    • Usa
    • Datové
    • Legendy
  • usa
    • Bent
    • For
    • Heavy
    • Hell
    • Killing
    • Leather
    • Machine
    • Albem
    • Datové
    • Judas
    • Legendy
    • Metalové
  • k.k. downing
    • Tipton
    • Položky
    • The
    • For
    • Guthrie
    • Heavy
    • Hell
    • James
    • Killing
    • Leather
    • Machine
    • Records
  • glenn tipton
    • Usa

Connections between topic areas Semantic bridges

For Killing Machine, one of the stronger structural bridges in this analysis connects Killing Machine with Overview. 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
Killing Machine — Overview · splits 7 ⟂ 6
Killing Machine — Sestava · splits 7 ⟂ 6

Map overview Semantic statistics

Killing Machine

Nodes13
Edges12
Triples9
Avg. degree1.85
Density0.153846
Components1

Source & methodology

TTTA analyzes the structure around Killing Machine to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Sestava & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Killing Machine · CS edition · Analysis: TopicsToTalkAbout

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