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EMusic: History, Music, Art & Companies
eMusic is an online music and audiobook store that operates by subscription. In exchange for a monthly subscription eMusic users can download a fixed number of MP3 tracks per month. eMusic was established in 1998, is headquartered in New York City with an office in London, and is owned by TriPlay.
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EMusic topic overview
The analysis highlights History, Music, Art and Companies as prominent areas in the source structure around EMusic. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
Related topics
98
Source areas
7
Connected nodes
106
Extracted relationships
98
Concept neighborhoods
37
Bridge connections
106
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.
Music catalogue · 57 topics
Features · 14 topics
Company ownership history · 13 topics
Overview · 5 topics
Cductive · 4 topics
File format support · 4 topics
Executive staff · 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.
Availability
United States, Canada, European Union, Norway, Switzerland
Launch date
January 8, 1998; 28 years ago (1998-01-08) (as GoodNoise Records)
Platform(s)
MP3s downloadable in any platform; open-source clients available for Microsoft Windows, macOS and Linux
Pricing model
30-day subscription
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 EMusic 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 EMusic shows recurring relationship patterns in the source. For example, EMusic → Arcade Fire, Built, Cat Power, Girls Against Boys, Go Records, Guided By Voices, Interpol, Kill Rock Stars, Lambchop, Lil Jon, Matador Records, Mekons, Merge Records, Modest Mouse, Most, Music, Records, Sleater-Kinney, Spill, Spoon Another extracted example is EMusic → At, Bob Kohn, Both, CD, Chasan, Eventually, Gary Culpepper, Gene Hoffman, Goodnoise Records, In February, Internet Underground Music Archive, It, IUMA, Kent Kiefer, March, Mark Chasan, MP3, Nasdaq, Nordic Entertainment, Originally. Use these groups to spot repeated connection types before inspecting the individual relationships.
EMusic
Top relations
related to Music catalogue· 26
EMusic → Arcade Fire, Built, Cat Power, Girls Against Boys, Go Records, Guided By Voices, Interpol, Kill Rock Stars, Lambchop, Lil Jon, Matador Records, Mekons, Merge Records, Modest Mouse, Most, Music, Records, Sleater-Kinney, Spill, Spoon
related to history· 22
EMusic → At, Bob Kohn, Both, CD, Chasan, Eventually, Gary Culpepper, Gene Hoffman, Goodnoise Records, In February, Internet Underground Music Archive, It, IUMA, Kent Kiefer, March, Mark Chasan, MP3, Nasdaq, Nordic Entertainment, Originally
related to Executive staff· 9
EMusic → April, Chairman, Chief Executive Officer, Daniel, December, Madeline Milne, Managing Director Europe, Stein, The
related to File format support· 9
EMusic → Analysis, DRM, Due, However, LAME, MP3, The, VBR, While
related to Cductive· 8
EMusic → Alan Manuel, CD, Cductive, Cductive's, In December, It, John Rigos, Tom Ryan
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 98 structured relationships around EMusic. Examples in this analysis include EMusic → Availability → United States, Canada, European Union, Norway, Switzerland and EMusic → Launch date → January 8, 1998; 28 years ago (1998-01-08) (as GoodNoise Records). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
EMusic
Availability
United States, Canada, European Union, Norway, Switzerland
1.00
infobox
EMusic
Launch date
January 8, 1998; 28 years ago (1998-01-08) (as GoodNoise Records)
1.00
infobox
EMusic
Platform(s)
MP3s downloadable in any platform; open-source clients available for Microsoft Windows, macOS and Linux
1.00
infobox
EMusic
Pricing model
30-day subscription
1.00
infobox
EMusic
Website
www.emusic.com
1.00
infobox
EMusic
is a
online music and audiobook store that operates by subscription
0.90
text
The White Stripes
instance of
notably London-based Domino Records and artists
0.80
text
Mogwai
instance of
notably London-based Domino Records and artists
0.80
text
CD Baby
instance of
eMusic mainly sold music from independent labels.eMusic shares the revenue with artists who have submitted music via digital distribution service providers
0.80
text
TuneCore
instance of
eMusic mainly sold music from independent labels.eMusic shares the revenue with artists who have submitted music via digital distribution service providers
0.80
text
Nimbit
instance of
eMusic mainly sold music from independent labels.eMusic shares the revenue with artists who have submitted music via digital distribution service providers
0.80
text
State 51
instance of
eMusic mainly sold music from independent labels.eMusic shares the revenue with artists who have submitted music via digital distribution service providers
0.80
text
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 EMusic bring nearby vocabulary together. In this analysis, examples include Music, Labels and Tracks. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
EMusic
Music
Labels
Tracks
Download
Major
Independent
New
Service
Format
Subscription
Added
Available
emusic
Music
Labels
Tracks
Download
Major
Independent
New
Service
Format
Subscription
Added
Available
online music
Store
Labels
Independent
Online
Sell
Subscription
Service
Emusic's
Digital
Format
Major
Catalogue
new york city
Site
Subscription
Tracks
Prices
Users
Online
Also
Universal
Warner
Added
Owned
Record
internet underground music archive
Labels
Independent
Online
Store
Sell
Subscription
Service
Digital
Format
Major
Catalogue
Emusic's
universal music
Warner
Labels
Independent
Online
Store
Sell
Subscription
Service
Digital
Format
Major
Catalogue
amazon music
Labels
Independent
Online
Store
Sell
Subscription
Service
Digital
Format
Major
Catalogue
Emusic's
open music model
Labels
Independent
Online
Store
Sell
Subscription
Service
Digital
Format
Major
Catalogue
Emusic's
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 EMusic, one of the stronger structural bridges in this analysis connects EMusic with Music catalogue. 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.
EMusic
Nodes107
Edges106
Triples98
Avg. degree1.98
Density0.018692
Components1
Source & methodology
TTTA analyzes the structure around EMusic to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Music, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
