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Shadowrun is a science fantasy tabletop role-playing game set in an alternate future in which cybernetics, magic and fantasy creatures co-exist. It combines genres of cyberpunk, urban fantasy, and crime, with occasional elements of conspiracy, horror, and detective fiction. From its inception in 1989, it has spawned a franchise that includes a series of…
The analysis highlights History, Measurement and Science as prominent areas in the source structure around Shadowrun.
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 Shadowrun shows recurring relationship patterns in the source. For example, Shadowrun → An, Approximately, April, As, Assassin, August, Beam Software, BlueSky Software, Boston Lockdown, Director's Cut, Director’s Cut, Dragonfall, Eight, Extended Edition, FASA Interactive, FASA Interactive Technologies, FASA Studios, Games, Group SNE, Harebrained Schemes Another extracted example is Shadowrun → Aztec, Coe's The Maya, Consciousness, December, Earth, Earthdawn, Fifth World, Fourth World, Frank Waters's, Gibson, Maya, Mesoamerican Long Count, Mexico Mystique, Michael, Neuromancer, Sixth World, Such, Sun, The, The Coming Sixth World. 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.
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TTTA extracted 242 structured relationships around Shadowrun. Examples in this analysis include Shadowrun → Designers → Robert N. Charrette and Shadowrun → Designers → Paul Hume. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Shadowrun | Designers | Robert N. Charrette | 1.00 | infobox |
| Shadowrun | Designers | Paul Hume | 1.00 | infobox |
| Shadowrun | Designers | Tom Dowd | 1.00 | infobox |
| Shadowrun | Designers | L. Ross Babcock III | 1.00 | infobox |
| Shadowrun | Designers | Sam Lewis | 1.00 | infobox |
| Shadowrun | Designers | Dave Wylie | 1.00 | infobox |
| Shadowrun | Designers | Mike Mulvihill | 1.00 | infobox |
| Shadowrun | Genres | Science fantasy | 1.00 | infobox |
| Shadowrun | Publication | 1989; 37 years ago (1989) | 1.00 | infobox |
| Shadowrun | Publication | 1992 (second edition) | 1.00 | infobox |
| Shadowrun | Publication | 1998 (third edition) | 1.00 | infobox |
| Shadowrun | Publication | 2005 (fourth edition) | 1.00 | infobox |
| Shadowrun | Publication | 2009 (20th anniversary) | 1.00 | infobox |
| Shadowrun | Publication | 2013 (fifth edition) 2016 (Shadowrun Anarchy) | 1.00 | infobox |
| Shadowrun | Publication | 2019 (Sixth World) | 1.00 | infobox |
| Shadowrun | Publishers | FASA | 1.00 | infobox |
| Shadowrun | Publishers | Fantasy Productions | 1.00 | infobox |
| Shadowrun | Publishers | Catalyst Game Labs | 1.00 | infobox |
| Shadowrun | Systems | Custom | 1.00 | infobox |
| Shadowrun | is a | science fantasy tabletop role-playing game set in an alternate future in which cybernetics | 0.90 | text |
| Shadowrun | is a | very visual game system | 0.90 | text |
| Shadowrun | is a | future | 0.90 | text |
| Shadowrun | is a | game with a heart | 0.90 | text |
The concept neighborhoods around Shadowrun bring nearby vocabulary together. In this analysis, examples include World, Released and System. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Shadowrun, one of the stronger structural bridges in this analysis connects Shadowrun with Fictional universe. 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 Shadowrun to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Measurement & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Shadowrun · EN edition · Analysis: TopicsToTalkAbout