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Database consumption: Art, Cultures & Products
Database consumption (Japanese: データベース消費, romanized: dētabēsu shōhi) refers to a way of content consumption in which people do not consume a narrative itself, nor fragments of it, but rather its constituent elements. The concept was coined by the Japanese critic Hiroki Azuma in the early 2000s to describe how characters and mechanics found in a…
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Database consumption topic overview
The analysis highlights Art, Cultures and Products as prominent areas in the source structure around Database consumption.
Related topics
98
Source areas
3
Connected nodes
105
Extracted relationships
60
Concept neighborhoods
26
Bridge connections
105
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 · 88 topics
Analysis · 8 topics
Counterexamples · 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.
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 Database consumption 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 Database consumption shows recurring relationship patterns in the source. For example, Database consumption → According, Anime, Anthropologist Ian Condry, Azuma, Azuma's, Dejiko, Di Gi Charat, Fabian Schäfer, Forrest Greenwood, Greenwood, He, Japan's Database Animals, Lamarre, Martin Roth, Mechademia, Otaku, Paul Perdijk, The Anime Machine, The Soul, Thomas Lamarre Another extracted example is Database consumption → According, As, Azuma, Evangelion, For, Human Instrumentality Project, In Gundam, Japanese, Mobile Suit Gundam, Neon Genesis Evangelion, Rather, S2 Engine, Satoshi Maejima, This, Universal Century. Use these groups to spot repeated connection types before inspecting the individual relationships.
Database consumption
Top relations
related to Analysis· 23
Database consumption → According, Anime, Anthropologist Ian Condry, Azuma, Azuma's, Dejiko, Di Gi Charat, Fabian Schäfer, Forrest Greenwood, Greenwood, He, Japan's Database Animals, Lamarre, Martin Roth, Mechademia, Otaku, Paul Perdijk, The Anime Machine, The Soul, Thomas Lamarre
related to Otaku culture· 15
Database consumption → According, As, Azuma, Evangelion, For, Human Instrumentality Project, In Gundam, Japanese, Mobile Suit Gundam, Neon Genesis Evangelion, Rather, S2 Engine, Satoshi Maejima, This, Universal Century
related to Non-otaku culture· 12
Database consumption → Azuma, DJ, DJs, First, He, However, In, Miyadai's, Satoshi Masuda, Second, Shinji Miyadai's, Some
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 60 structured relationships around Database consumption. Examples in this analysis include those of Takashi Murakami → instance of → there are examples of incorporating elements of otaku culture into artworks and Database consumption → related to Analysis → Thomas Lamarre. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
those of Takashi Murakami
instance of
there are examples of incorporating elements of otaku culture into artworks
0.80
text
Chaos
instance of
there are examples of incorporating elements of otaku culture into artworks
0.80
text
Database consumption
related to Analysis
Thomas Lamarre
0.60
section
Database consumption
related to Analysis
The Anime Machine
0.60
section
Database consumption
related to Analysis
He
0.60
section
Database consumption
related to Analysis
Azuma
0.60
section
Database consumption
related to Analysis
According
0.60
section
Database consumption
related to Analysis
Lamarre
0.60
section
Database consumption
related to Analysis
Writing
0.60
section
Database consumption
related to Analysis
Mechademia
0.60
section
Database consumption
related to Analysis
Forrest Greenwood
0.60
section
Database consumption
related to Analysis
Azuma's
0.60
section
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 Database consumption bring nearby vocabulary together. In this analysis, examples include Database, Azuma and Theory. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Database consumption
Database
Azuma
Theory
Otaku
Characters
Narrative
Culture
Elements
Moe
Example
Works
Content
database consumption
Database
Azuma
Narrative
Otaku
Theory
Characters
Patterns
Culture
Also
Since
Character
Moe
consumption
Database
Narrative
Azuma
Otaku
Theory
Patterns
Culture
Also
Since
Character
Moe
Become
narrative consumption
Database
Narrative
Azuma
Otaku
Theory
Since
Patterns
Culture
Also
Character
Moe
Become
hiroki azuma
Database
Azuma
Hiroki
Consumption
Example
Fans
Cites
Patterns
Otaku
Elements
Japanese
Azuma's
otaku
Culture
Works
Original
Patterns
Azuma's
Also
Since
Moe
Art
Derivative
Example
Fan
database
Azuma
Otaku
Characters
Narrative
Culture
Elements
Moe
Works
Content
Become
Model
Cites
derivative works
Original
Otaku
Like
Derivative
Narratives
Works
Culture
Azuma's
Art
Media
Model
Database
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 Database consumption, one of the stronger structural bridges in this analysis connects Database consumption 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Database consumption
Nodes106
Edges105
Triples60
Avg. degree1.98
Density0.018868
Components1
Source & methodology
TTTA analyzes the structure around Database consumption to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Cultures & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
