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Toaplan: History & Companies
Toaplan Co., Ltd. was a Japanese video game developer based in Tokyo. It was best known for its catalogue of scrolling shooters and other arcade video games. The company was founded in 1979 but its gaming division was established in 1984 by former Orca and Crux employees, who wanted to make games, after both companies declared bankruptcy. Their first…
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Toaplan topic overview
The analysis highlights History and Companies as prominent areas in the source structure around Toaplan.
Related topics
30
Source areas
3
Connected nodes
33
Extracted relationships
97
Concept neighborhoods
14
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.
Overview · 15 topics
History · 12 topics
Staff · 3 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.
Founded
April 1979; 47 years ago (April 1979)
Industry
Video games
Headquarters
Shimizu, Suginami, Tokyo
Area served
Japan
Defunct
March 1994; 32 years ago (March 1994)
Fate
Bankruptcy
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 Toaplan 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 Toaplan shows recurring relationship patterns in the source. For example, Toaplan → Artist, Atsushi Kawaguchi, Batsugun, CAVE, Character, Co-founder, Demon's World, Designer, Dogyuun, Eighting, Fire Shark, FixEight, Founder, Gazelle, Gekirindan, Graphic, Grind Stormer, Guardian, Hellfire, Japanese Another extracted example is Toaplan → April, CEO, Crux, Eighting, In, Masahiro Yuge, Orca, Performan, Raizing, Snow Bros, Sorcer Striker, Taizo Hayashi, Tatsuya Uemura, With New Elves, Yoshiyuki Kiyomoto. Use these groups to spot repeated connection types before inspecting the individual relationships.
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 97 structured relationships around Toaplan. Examples in this analysis include Toaplan → Area served → Japan and Toaplan → Defunct → March 1994; 32 years ago (March 1994). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Toaplan
Area served
Japan
1.00
infobox
Toaplan
Defunct
March 1994; 32 years ago (March 1994)
1.00
infobox
Toaplan
Fate
Bankruptcy
1.00
infobox
Toaplan
Founded
April 1979; 47 years ago (April 1979)
1.00
infobox
Toaplan
Founder
Kiyoshi Motoyoshi
1.00
infobox
Toaplan
Headquarters
Shimizu, Suginami, Tokyo
1.00
infobox
Toaplan
Industry
Video games
1.00
infobox
Toaplan
Key people
Taizo Hayashi (president)
1.00
infobox
Toaplan
Key people
Yoshiyuki Kiyomoto (CEO)
1.00
infobox
Toaplan
Native name
株式会社東亜プラン
1.00
infobox
Toaplan
Products
Video games
1.00
infobox
Toaplan
Romanized name
Kabushiki gaisha Tōapuran
1.00
infobox
Toaplan
Trade name
Toaplan
1.00
infobox
Toaplan
Type
Kabushiki gaisha
1.00
infobox
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 Toaplan bring nearby vocabulary together. In this analysis, examples include Games, Company and Game. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Toaplan
Games
Company
Game
'em
Served
Shoot
One
Tokyo
Arcade
Gaming
Video
Bankruptcy
toaplan
Games
Company
Game
'em
Served
Shoot
One
Tokyo
Arcade
Gaming
Video
Bankruptcy
arcade video games
Tokyo
Games
Video
Toaplan
Development
Eighting
Former
Japanese
'em
Gaming
Served
Shoot
twin cobra ii
Designer
Truxton
Takumi
Tamsoft
Arcade
Closure
Composer
Gazelle
Companies
Development
Eighting
Former
bankruptcy
Gaming
Company
Companies
Former
Games
Projects
Tokyo
'em
Served
Shoot
Toaplan
Video
video game developer
Tokyo
Games
Japanese
Toaplan
'em
Game
Shoot
Video
Arcade
Gaming
Served
Bankruptcy
cave
Co-founder
Gazelle
Several
Takumi
Tamsoft
Later
Closure
Eighting
Former
Worked
Projects
Taito
eighting
Takumi
Gazelle
Former
Several
Tamsoft
Closure
Later
Cave
Worked
Projects
Taito
Served
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 Toaplan, one of the stronger structural bridges in this analysis connects Toaplan 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.
Toaplan
Nodes34
Edges33
Triples97
Avg. degree1.94
Density0.058824
Components1
Source & methodology
TTTA analyzes the structure around Toaplan to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
