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Matoma: Career & Music

Tom Stræte Lagergren (born 29 May 1991), known professionally as Matoma, is a Norwegian DJ and record producer.

Language: English [EN]
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Matoma topic overview

The analysis highlights Career and Music as prominent areas in the source structure around Matoma.

Related topics
32
Source areas
4
Connected nodes
36
Extracted relationships
34
Concept neighborhoods
11
Bridge connections
36

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.

Career · 23 topics
Early life · 4 topics
Equipment · 3 topics
Discography · 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.

Born
Tom Stræte Lagergren (1991-05-29) 29 May 1991 (age 35) Åsnes, Norway
Genres
EDM · R&B · pop · dancehall · house
Instruments
Digital audio workstation · piano · flute · guitar
Label
Warner
Occupations
Disc jockey · record producer
Years active
2014–present

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.

Early life

Career

Equipment

Discography

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 Matoma connects Entity context

The extracted context around Matoma shows recurring relationship patterns in the source. For example, Matoma → Beat Drops, Free Fallin Tropical Mojito, John Mayer Tribute, July, Marlon Roudette's, Matoma's, Nelsaan, Remix, Universal Germany, When Another extracted example is Matoma → dancehall, EDM, house, pop, R&B, tropical house. Use these groups to spot repeated connection types before inspecting the individual relationships.

Matoma

Top relations

related to Career · 10
Matoma → Beat Drops, Free Fallin Tropical Mojito, John Mayer Tribute, July, Marlon Roudette's, Matoma's, Nelsaan, Remix, Universal Germany, When
Genres · 6
Matoma → dancehall, EDM, house, pop, R&B, tropical house
related to Equipment · 5
Matoma → Cubase, Digital, He, Massive, Pro
Instruments · 4
Matoma → Digital audio workstation, flute, guitar, piano
related to Discography · 3
Matoma → Hakuna Matoma, Million, One
Occupations · 2
Matoma → Disc jockey, record producer
Born · 1
Matoma → Tom Stræte Lagergren (1991-05-29) 29 May 1991 (age 35) Åsnes, Norway
Label · 1
Matoma → Warner
Website · 1
Matoma → hakunamatoma.com
Years active · 1
Matoma → 2014–present

Important terminology

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

Important terminology

released remix music single norwegian piano born record producer also singer lagergren 2014 norway nelsaan matoma's official september published 2016

Matoma relationships Subject–Predicate–Object triples

TTTA extracted 34 structured relationships around Matoma. Examples in this analysis include Matoma → Born → Tom Stræte Lagergren (1991-05-29) 29 May 1991 (age 35) Åsnes, Norway and Matoma → Genres → EDM. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
MatomaBornTom Stræte Lagergren (1991-05-29) 29 May 1991 (age 35) Åsnes, Norway1.00infobox
MatomaGenresEDM1.00infobox
MatomaGenresR&B1.00infobox
MatomaGenrespop1.00infobox
MatomaGenresdancehall1.00infobox
MatomaGenreshouse1.00infobox
MatomaGenrestropical house1.00infobox
MatomaInstrumentsDigital audio workstation1.00infobox
MatomaInstrumentspiano1.00infobox
MatomaInstrumentsflute1.00infobox
MatomaInstrumentsguitar1.00infobox
MatomaLabelWarner1.00infobox
MatomaOccupationsDisc jockey1.00infobox
MatomaOccupationsrecord producer1.00infobox
MatomaWebsitehakunamatoma.com1.00infobox
MatomaYears active2014–present1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Matoma bring nearby vocabulary together. In this analysis, examples include Remix, Released and Single. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Matoma
    • Remix
    • Released
    • Single
    • Music
    • Audio
    • Digital
    • Month
    • One
    • Warner
    • Website
    • Workstation
    • Nelsaan
  • matoma
    • Remix
    • Released
    • Single
    • Music
    • Audio
    • Digital
    • Month
    • One
    • Warner
    • Website
    • Workstation
    • Nelsaan
  • hakuna matoma
    • Remix
    • Released
    • Single
    • Music
    • Audio
    • Digital
    • Month
    • One
    • Warner
    • Website
    • Workstation
    • Nelsaan
  • music mastering
    • Matoma's
    • Nelsaan
    • Published
    • Remix
    • Beat
    • Month
    • Number
    • Tropical
    • Warner
    • Workstation
    • Norway
    • Official
  • digital audio workstation
    • Audio
    • Digital
    • Workstation
    • Åsnes
    • Born
    • House
    • Tropical
    • Warner
    • Website
    • Lagergren
    • Norway
    • Producer
  • norwegian university of science and technology
    • Producer
    • Back
    • Charted
    • House
    • Number
    • Remix
    • Tropical
    • Won
    • Matoma's
    • Nelsaan
    • Norway
    • Official
  • norwegian version of the voice
    • Producer
    • Back
    • Charted
    • House
    • Number
    • Remix
    • Tropical
    • Won
    • Matoma's
    • Nelsaan
    • Norway
    • Official
  • åsnes municipality
    • Audio
    • Born
    • Digital
    • House
    • Tropical
    • Warner
    • Website
    • Workstation
    • Lagergren
    • Norway
    • Producer
    • Record

Connections between topic areas Semantic bridges

For Matoma, one of the stronger structural bridges in this analysis connects Matoma with Career. 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
MatomaCareer · splits 13 ⟂ 24
MatomaEarly life · splits 32 ⟂ 5
MatomaEquipment · splits 33 ⟂ 4
MatomaDiscography · splits 34 ⟂ 3

Map overview Semantic statistics

Matoma

Nodes37
Edges36
Triples34
Avg. degree1.95
Density0.054054
Components1

Source & methodology

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

Source: Wikipedia — Matoma · EN edition · Analysis: TopicsToTalkAbout

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