Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Double Dungeons is a dungeon crawl role-playing video game developed by Thinking Rabbit and published by NEC for the TurboGrafx-16 in 1989 in Japan and in 1990 in North America. Its unique selling point was that it supports simultaneously two-player gameplay.
The analysis highlights Regions, Reception and Overview as prominent areas in the source structure around Double Dungeons.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Explore different angles and find fresh ideas to shape your next piece of content.
Search suggestions related to this topic. Open a question to research it further; suggestions are not verified answers.
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.
You can skip this section if you’re here for content ideas and keyword inspiration.
The extracted context around Double Dungeons shows recurring relationship patterns in the source. For example, Double Dungeons → JP: Masaya Games, NA: NEC Another extracted example is Double Dungeons → JP: September 29, 1989, NA: July 1990. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
japan north america virtual console wii dungeon nec turbografx-16 released europe role-playing gameplay crawl thinking rabbit 1990 game two-player release
TTTA extracted 9 structured relationships around Double Dungeons. Examples in this analysis include Double Dungeons → Developer → Thinking Rabbit and Double Dungeons → Genres → Role-playing, dungeon crawl. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Double Dungeons | Developer | Thinking Rabbit | 1.00 | infobox |
| Double Dungeons | Genres | Role-playing, dungeon crawl | 1.00 | infobox |
| Double Dungeons | Modes | Single-player, multiplayer | 1.00 | infobox |
| Double Dungeons | Platform | TurboGrafx-16 | 1.00 | infobox |
| Double Dungeons | Publishers | JP: Masaya Games | 1.00 | infobox |
| Double Dungeons | Publishers | NA: NEC | 1.00 | infobox |
| Double Dungeons | Release | JP: September 29, 1989 | 1.00 | infobox |
| Double Dungeons | Release | NA: July 1990 | 1.00 | infobox |
| Double Dungeons | is a | dungeon crawl role-playing video game developed by Thinking Rabbit and published by NEC for the TurboGrafx-16 in 1989 in Japan and in 1990 in North America | 0.90 | text |
The concept neighborhoods around Double Dungeons bring nearby vocabulary together. In this analysis, examples include Developed, Dungeons and Published. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Double Dungeons, one of the stronger structural bridges in this analysis connects Double Dungeons 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.
TTTA analyzes the structure around Double Dungeons to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Regions, Reception & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Double Dungeons · EN edition · Analysis: TopicsToTalkAbout
