Self Assemble is the second studio album by British electronic musician Mat Zo. It was released on his own record label Mad Zoo, on 25 March 2016. It acts as the follow-up to his debut album Damage Control (2013), and consists of tracks with multiple genres including electro house, dubstep, and funk. The record was initially stated by Mat Zo to be his…
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Self Assemble topic overview
The analysis highlights Members, Background and Critical reception as prominent areas in the source structure around Self Assemble.
Related topics
28
Source areas
5
Connected nodes
33
Extracted relationships
54
Concept neighborhoods
16
Bridge connections
33
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.
Background · 10 topics
Overview · 9 topics
Critical reception · 4 topics
Personnel · 4 topics
Track listing · 1 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 · nu-disco · electro house · dubstep · drum and bass
Label
Mad Zoo
Length
44:23
Producer
Mat Zo
Recorded
2014–16
Released
25 March 2016 (2016-03-25)
Suggested research paths
A focused starting point derived from the topic graph, ranked independently of the source article order.
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 Self Assemble 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 Self Assemble shows recurring relationship patterns in the source. For example, Self Assemble → BBC Essential Mix, Beatmash Magazine, Christina Hernandez, Damage Control, Dancing Astronaut, He, Mat Zo, Mixmag's Ellie Hanagan, Raymond Murphy, Roshan Clerke, She, Sinful, Soul Food, The, The Music, Timmy Kusnierek, We Rave You, Writing, Your EDM, Zo's Another extracted example is Self Assemble → Armada Music, Billboard, Dancing Astronaut, DJ, DJs, February, Further, He, In, January, MAD, Markus Schulz, Matan Zohar, May, This, Tiësto, While, Zohar, Zohar's Twitter. Use these groups to spot repeated connection types before inspecting the individual relationships.
Self Assemble
Top relations
related to Critical reception· 21
Self Assemble → BBC Essential Mix, Beatmash Magazine, Christina Hernandez, Damage Control, Dancing Astronaut, He, Mat Zo, Mixmag's Ellie Hanagan, Raymond Murphy, Roshan Clerke, She, Sinful, Soul Food, The, The Music, Timmy Kusnierek, We Rave You, Writing, Your EDM, Zo's
related to background· 19
Self Assemble → Armada Music, Billboard, Dancing Astronaut, DJ, DJs, February, Further, He, In, January, MAD, Markus Schulz, Matan Zohar, May, This, Tiësto, While, Zohar, Zohar's Twitter
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 54 structured relationships around Self Assemble. Examples in this analysis include Self Assemble → Genres → Electronica and Self Assemble → Genres → nu-disco. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Self Assemble
Genres
Electronica
1.00
infobox
Self Assemble
Genres
nu-disco
1.00
infobox
Self Assemble
Genres
electro house
1.00
infobox
Self Assemble
Genres
dubstep
1.00
infobox
Self Assemble
Genres
drum and bass
1.00
infobox
Self Assemble
Label
Mad Zoo
1.00
infobox
Self Assemble
Length
44:23
1.00
infobox
Self Assemble
Producer
Mat Zo
1.00
infobox
Self Assemble
Recorded
2014–16
1.00
infobox
Self Assemble
Released
25 March 2016 (2016-03-25)
1.00
infobox
Self Assemble
is a
second studio album by British electronic musician Mat Zo
0.90
text
future bass
instance of
The critic continued by commending the different listening experience upheld in each track and the presence of multiple genres
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 Self Assemble bring nearby vocabulary together. In this analysis, examples include Self, Album and Music. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Self Assemble
Self
Album
Music
Zohar
Control
Damage
Dance
Label
Mat
Doesn't
Zo
Electronic
self assemble
Self
Music
Album
Control
Damage
Dance
Label
Zohar
Doesn't
Mat
Zo
Electronic
studio album
Music
Mat
Zo
Assemble
Electronic
Self
Doesn't
Genres
Zohar
Tracks
Record
Debut
electronic musician
Music
Mat
Zo
Dance
Last
Self
Tracks
Record
Electro
Reception
Released
Stated
mat zo
Zo
Dance
Last
Music
Self
Electro
Reception
Record
Released
Stated
Zoo
Bass
damage control
Control
Damage
Electro
Dubstep
House
Genres
Debut
Reception
Released
Self
Stated
Zoo
electronic dance music
Music
Mat
Zo
Last
Doesn't
Dance
Electronic
Self
Electro
Exist
Reception
Released
drum and bass
Track
Genres
Dubstep
House
Electro
Reception
Released
Zoo
Control
Damage
Dance
Label
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 Self Assemble, one of the stronger structural bridges in this analysis connects Self Assemble with Background. 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.
Self Assemble
Nodes34
Edges33
Triples54
Avg. degree1.94
Density0.058824
Components1
Source & methodology
TTTA analyzes the structure around Self Assemble to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Members, Background & Critical reception, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
