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Absolver: Art, Reception & Gameplay
Absolver is a martial arts-themed action role-playing video game developed by Sloclap and published by Devolver Digital for PlayStation 4, Windows, and Xbox One. In the game, players control warrior characters who fight other players and computer-controlled characters across the fictional land of Adal to prove their worthiness of joining the Absolver…
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Absolver topic overview
The analysis highlights Art, Reception and Gameplay as prominent areas in the source structure around Absolver.
Related topics
39
Source areas
4
Connected nodes
43
Extracted relationships
74
Concept neighborhoods
20
Bridge connections
43
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.
Reception · 14 topics
Overview · 9 topics
Development · 8 topics
Gameplay · 8 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.
Genre
Action role-playing
Publisher
Devolver Digital
Artists
Michel Donzé · Paul-Emile Boucher
Composer
Austin Wintory
Designer
Jordan Layani
Developer
Sloclap
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 Absolver 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 Absolver shows recurring relationship patterns in the source. For example, Absolver → Absolver's, Andrew Tarantola, Best Indie Game, Borque, Brad Borque, Critics, Dark Souls, Digital Trends, E3, Electronic Entertainment Expo, Engadget, Gamasutra, Games, GamesBeat's, GamesRadar, GamesRadar's, Griffin McElroy, In, Killer App Killer, Kris Graft Another extracted example is Absolver → August, Devolver Digital, Electronic Entertainment Expo, June, May, Parisian, Pierre Tarno, PlayStation, Sloclap, The, They, Tom Clancy's Ghost Recon, Ubisoft Paris, Unreal Engine, Watch Dogs, Windows. Use these groups to spot repeated connection types before inspecting the individual relationships.
Absolver
Top relations
related to Reception· 28
Absolver → Absolver's, Andrew Tarantola, Best Indie Game, Borque, Brad Borque, Critics, Dark Souls, Digital Trends, E3, Electronic Entertainment Expo, Engadget, Gamasutra, Games, GamesBeat's, GamesRadar, GamesRadar's, Griffin McElroy, In, Killer App Killer, Kris Graft
related to Development· 16
Absolver → August, Devolver Digital, Electronic Entertainment Expo, June, May, Parisian, Pierre Tarno, PlayStation, Sloclap, The, They, Tom Clancy's Ghost Recon, Ubisoft Paris, Unreal Engine, Watch Dogs, Windows
related to Gameplay· 6
Absolver → Adal, Additionally, Each, Players, Prospects, The
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 74 structured relationships around Absolver. Examples in this analysis include Absolver → Artists → Michel Donzé and Absolver → Artists → Paul-Emile Boucher. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Absolver
Artists
Michel Donzé
1.00
infobox
Absolver
Artists
Paul-Emile Boucher
1.00
infobox
Absolver
Composer
Austin Wintory
1.00
infobox
Absolver
Designer
Jordan Layani
1.00
infobox
Absolver
Developer
Sloclap
1.00
infobox
Absolver
Directors
Pierre Tarno
1.00
infobox
Absolver
Directors
Jordan Layani
1.00
infobox
Absolver
Engine
Unreal Engine 4
1.00
infobox
Absolver
Genre
Action role-playing
1.00
infobox
Absolver
Modes
Single-player, multiplayer
1.00
infobox
Absolver
Platforms
Windows
1.00
infobox
Absolver
Platforms
PlayStation 4
1.00
infobox
Absolver
Platforms
Xbox One
1.00
infobox
Absolver
Producer
Pierre Tarno
1.00
infobox
Absolver
Programmers
Aurélien Topia
1.00
infobox
Absolver
Programmers
Olivier Gaertner
1.00
infobox
Absolver
Publisher
Devolver Digital
1.00
infobox
Absolver
Release
WW: August 29, 2017
1.00
infobox
Absolver
Release
WW: January 7, 2019
1.00
infobox
Absolver
is a
martial arts-themed action role-playing video game developed by Sloclap and published by Devolver Digital for PlayStation 4
0.90
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 Absolver bring nearby vocabulary together. In this analysis, examples include Digital, Game and Devolver. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Absolver
Digital
Game
Devolver
Multiplayer
One
Sloclap
Role-playing
Action
Engine
Playstation
Unreal
Windows
absolver
Digital
Game
Devolver
Multiplayer
One
Sloclap
Role-playing
Action
Engine
Playstation
Unreal
Windows
massively multiplayer online game
Games
Sloclap
Role-playing
Players
Fighting
Playstation
Unreal
Windows
Engine
Gameplay
Indie
Digital
indie game studio
Began
May
Sloclap
Engine
Gameplay
Unreal
Players
Best
Electronic
Entertainment
Expo
Fighting
game balance
Sloclap
Players
Fighting
Engine
Gameplay
Indie
Playstation
Unreal
Windows
Digital
Multiplayer
One
game engine
Unreal
Gameplay
Role-playing
Sloclap
Indie
Playstation
Windows
Players
Best
Entertainment
Expo
Fighting
devolver digital
Digital
Role-playing
Playstation
Windows
One
Multiplayer
Sloclap
Development
Engine
Gameplay
Unreal
Electronic
digital trends
Role-playing
Playstation
Windows
Multiplayer
One
Sloclap
Development
Engine
Gameplay
Unreal
Electronic
Entertainment
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 Absolver, one of the stronger structural bridges in this analysis connects Absolver with Reception. 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.
Absolver
Nodes44
Edges43
Triples74
Avg. degree1.95
Density0.045455
Components1
Source & methodology
TTTA analyzes the structure around Absolver to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Reception & Gameplay, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
