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Aquaria is an action-adventure game designed by Alec Holowka and Derek Yu, who published the game in 2007 as an independent game company Bit Blot. The side-scrolling game follows Naija, an aquatic humanoid woman, as she explores the underwater world of Aquaria. Along her journey, she learns about the history of the world she inhabits as well as her own…
The analysis highlights Companies, Overview and Reception as prominent areas in the source structure around Aquaria (video game). 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
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.
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.
The extracted context around Aquaria (video game) shows recurring relationship patterns in the source. For example, Aquaria (video game) → Android, December 7, 2007, iOS, June 18, 2013, Linux, May 4, 2010, November 13, 2008, November 2, 2011, OS X, Windows Another extracted example is Aquaria (video game) → Android, iOS, Linux, OS X, Windows. 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.
game naija aquaria player world released holowka gameplay different also version form 2007 yu found several games music plants new
TTTA extracted 33 structured relationships around Aquaria (video game). Examples in this analysis include Aquaria (video game) → Artist → Derek Yu and Aquaria (video game) → Composer → Alec Holowka. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Aquaria (video game) | Artist | Derek Yu | 1.00 | infobox |
| Aquaria (video game) | Composer | Alec Holowka | 1.00 | infobox |
| Aquaria (video game) | Designers | Alec Holowka | 1.00 | infobox |
| Aquaria (video game) | Designers | Derek Yu | 1.00 | infobox |
| Aquaria (video game) | Developer | Bit Blot | 1.00 | infobox |
| Aquaria (video game) | Genres | Action-adventure, Metroidvania | 1.00 | infobox |
| Aquaria (video game) | Mode | Single-player | 1.00 | infobox |
| Aquaria (video game) | Platforms | Windows | 1.00 | infobox |
| Aquaria (video game) | Platforms | OS X | 1.00 | infobox |
| Aquaria (video game) | Platforms | Linux | 1.00 | infobox |
| Aquaria (video game) | Platforms | iOS | 1.00 | infobox |
| Aquaria (video game) | Platforms | Android | 1.00 | infobox |
| Aquaria (video game) | Publishers | Bit Blot | 1.00 | infobox |
| Aquaria (video game) | Publishers | Ambrosia Software (OS X) | 1.00 | infobox |
| Aquaria (video game) | Release | Windows | 1.00 | infobox |
| Aquaria (video game) | Release | December 7, 2007 | 1.00 | infobox |
| Aquaria (video game) | Release | OS X | 1.00 | infobox |
| Aquaria (video game) | Release | November 13, 2008 | 1.00 | infobox |
| Aquaria (video game) | Release | Linux | 1.00 | infobox |
| Aquaria (video game) | Release | May 4, 2010 | 1.00 | infobox |
| Aquaria (video game) | Release | iOS | 1.00 | infobox |
| Aquaria (video game) | Release | November 2, 2011 | 1.00 | infobox |
| Aquaria (video game) | Release | Android | 1.00 | infobox |
| Aquaria (video game) | Release | June 18, 2013 | 1.00 | infobox |
The concept neighborhoods around Aquaria (video game) bring nearby vocabulary together. In this analysis, examples include Bit, Blot and Yu. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Aquaria (video game), one of the stronger structural bridges in this analysis connects Aquaria (video game) 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 Aquaria (video game) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Overview & Reception, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Aquaria (video game) · EN edition · Analysis: TopicsToTalkAbout