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I Like to Score: Members & Measurement

I Like to Score is a compilation album by American electronica musician Moby. It was released on November 10, 1997 by Mute Records in the United Kingdom and on October 21, 1997 by Elektra Records in the United States. The album primarily consists of music recorded by Moby for use in film soundtracks.

Language: English [EN]
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I Like to Score topic overview

The analysis highlights Members and Measurement as prominent areas in the source structure around I Like to Score.

Related topics
12
Source areas
2
Connected nodes
14
Extracted relationships
21
Related term clusters
9
Bridge connections
14

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 · 6 topics
Personnel · 6 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.

Genres
Electronica, techno
Labels
Mute · Elektra
Length
47:47
Producer
Moby
Released
October 21, 1997 (1997-10-21)

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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

Personnel

For the semantics nerds

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

Advanced semantic analysis

How I Like to Score connects Entity context

The extracted context around I Like to Score shows recurring relationship patterns in the source. For example, I Like to Score → Ah-Ah, Alan Moulder, Alexander McCabe, Credits, Daniel Miller, Endo, Greg Robinson, James Bond Theme, Like, MC Shah-King, Moby, Moby's Re-Version, Rob Hardt, Score Another extracted example is I Like to Score → Elektra, Mute. Use these groups to spot repeated connection types before inspecting the individual relationships.

I Like to Score

Top relations

related to Personnel · 14
I Like to Score → Ah-Ah, Alan Moulder, Alexander McCabe, Credits, Daniel Miller, Endo, Greg Robinson, James Bond Theme, Like, MC Shah-King, Moby, Moby's Re-Version, Rob Hardt, Score
Labels · 2
I Like to Score → Elektra, Mute
Genres · 1
I Like to Score → Electronica, techno
Length · 1
I Like to Score → 47:47
Producer · 1
I Like to Score → Moby
Released · 1
I Like to Score → October 21, 1997 (1997-10-21)
is a · 1
I Like to Score → compilation album by American electronica musician Moby

Important terminology

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

Important terminology

moby like score album electronica mute elektra released 1997 soundtracks compilation american musician november 10 records united kingdom october 21

I Like to Score relationships Subject–Predicate–Object triples

TTTA extracted 21 structured relationships around I Like to Score. Examples in this analysis include I Like to Score → Genres → Electronica, techno and I Like to Score → Labels → Mute. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
I Like to ScoreGenresElectronica, techno1.00infobox
I Like to ScoreLabelsMute1.00infobox
I Like to ScoreLabelsElektra1.00infobox
I Like to ScoreLength47:471.00infobox
I Like to ScoreProducerMoby1.00infobox
I Like to ScoreReleasedOctober 21, 1997 (1997-10-21)1.00infobox
I Like to Scoreis acompilation album by American electronica musician Moby0.90text
I Like to Scorerelated to PersonnelCredits0.60section
I Like to Scorerelated to PersonnelLike0.60section
I Like to Scorerelated to PersonnelScore0.60section
I Like to Scorerelated to PersonnelMoby0.60section
I Like to Scorerelated to PersonnelEndo0.60section

Related concept clusters Related term clusters

The concept neighborhoods around I Like to Score bring nearby vocabulary together. In this analysis, examples include Score, Moby and Electronica. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • moby
    • Score
    • Charts
    • Consists
    • External
    • Film
    • Links
    • Listing
    • Music
    • Musician
    • Personnel
    • Primarily
    • Recorded
  • elektra records
    • Kingdom
    • Mute
    • October
    • Released
    • States
    • United
    • Charts
    • Elektra
    • External
    • Links
    • Listing
    • November
  • I Like to Score
    • Score
    • Moby
    • Electronica
    • Album
    • American
    • Charts
    • Compilation
    • External
    • Links
    • Listing
    • Musician
    • Personnel
  • i like to score
    • Score
    • Moby
    • Electronica
    • Album
    • American
    • Charts
    • Compilation
    • External
    • Links
    • Listing
    • Musician
    • Personnel
  • mute records
    • Elektra
    • Kingdom
    • October
    • Released
    • States
    • United
    • Charts
    • External
    • Links
    • Listing
    • November
    • Personnel
  • compilation album
    • American
    • Musician
    • Electronica
    • Like
    • Moby
    • Score
    • Album
    • Compilation
    • Consists
    • Film
    • Music
    • Primarily
  • electronica
    • Charts
    • External
    • Like
    • Links
    • Listing
    • Moby
    • Musician
    • Personnel
    • References
    • Score
    • Track
    • Elektra
  • personnel
    • Charts
    • External
    • Links
    • References
    • Track
    • Released
    • Score

Connections between topic areas Semantic bridges

For I Like to Score, one of the stronger structural bridges in this analysis connects I Like to Score 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
I Like to Score — Overview · splits 8 ⟂ 7
I Like to Score — Personnel · splits 8 ⟂ 7

Map overview Semantic statistics

I Like to Score

Nodes15
Edges14
Triples21
Avg. degree1.87
Density0.133333
Components1

Source & methodology

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

Source: Wikipedia — I Like to Score · EN edition · Analysis: TopicsToTalkAbout

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