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S.W.I.N.E.: Measurement & Regions

S.W.I.N.E. (Strategic Warfare In a Nifty Environment) is a 2001 real-time tactics video game designed by Hungarian video game developer StormRegion and published by Ravensburger Interactive Media under their mature game label Fishtank Interactive. The player chooses to fight as either the brutal invading pigs or the campy rabbits, and plays a series of…

Language: English [EN]
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S.W.I.N.E. topic overview

The analysis highlights Measurement and Regions as prominent areas in the source structure around S.W.I.N.E..

Related topics
15
Source areas
3
Connected nodes
18
Extracted relationships
16
Concept neighborhoods
11
Bridge connections
18

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 · 12 topics
Reception · 2 topics
Story · 1 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
Real-time tactics
Publisher
Ravensburger Interactive Media
Developer
StormRegion
Modes
Single-player, multiplayer
Platform
Microsoft Windows
Release
UK: November 9, 2001 · NA: December 3, 2001

Explore all related topics Closing gaps

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.

Overview

Story

Reception

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How S.W.I.N.E. connects Entity context

The extracted context around S.W.I.N.E. shows recurring relationship patterns in the source. For example, S.W.I.N.E. → Instead, It, Like, SPs, Strategic Points, There, When Another extracted example is S.W.I.N.E. → NA: December 3, 2001, UK: November 9, 2001. Use these groups to spot repeated connection types before inspecting the individual relationships.

S.W.I.N.E.

Top relations

related to Gameplay · 7
S.W.I.N.E. → Instead, It, Like, SPs, Strategic Points, There, When
Release · 2
S.W.I.N.E. → NA: December 3, 2001, UK: November 9, 2001
related to External links · 2
S.W.I.N.E. → MobyGames, Stormregion's
Developer · 1
S.W.I.N.E. → StormRegion
Genre · 1
S.W.I.N.E. → Real-time tactics
Modes · 1
S.W.I.N.E. → Single-player, multiplayer
Platform · 1
S.W.I.N.E. → Microsoft Windows
Publisher · 1
S.W.I.N.E. → Ravensburger Interactive Media

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

many stormregion multiplayer rabbits units real-time tactics developer pigs also battle unit campaign lines game player games including available ravensburger

S.W.I.N.E. relationships Subject–Predicate–Object triples

TTTA extracted 16 structured relationships around S.W.I.N.E.. Examples in this analysis include S.W.I.N.E. → Developer → StormRegion and S.W.I.N.E. → Genre → Real-time tactics. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
S.W.I.N.E.DeveloperStormRegion1.00infobox
S.W.I.N.E.GenreReal-time tactics1.00infobox
S.W.I.N.E.ModesSingle-player, multiplayer1.00infobox
S.W.I.N.E.PlatformMicrosoft Windows1.00infobox
S.W.I.N.E.PublisherRavensburger Interactive Media1.00infobox
S.W.I.N.E.ReleaseUK: November 9, 20011.00infobox
S.W.I.N.E.ReleaseNA: December 3, 20011.00infobox
S.W.I.N.E.related to External linksStormregion's0.60section
S.W.I.N.E.related to External linksMobyGames0.60section
S.W.I.N.E.related to GameplayLike0.60section
S.W.I.N.E.related to GameplayThere0.60section
S.W.I.N.E.related to GameplayInstead0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around S.W.I.N.E. bring nearby vocabulary together. In this analysis, examples include Real-time, Tactics and Interactive. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • real-time tactics
    • Real-time
    • Tactics
    • Interactive
    • Media
    • Ravensburger
    • Developer
    • Stormregion
    • Like
    • Modes
    • Strategic
    • Also
    • Game
  • ravensburger interactive media
    • Interactive
    • Media
    • Ravensburger
    • Real-time
    • Stormregion
    • Tactics
    • Like
    • Modes
    • Strategic
    • Also
    • Games
    • Multiplayer
  • stormregion
    • Interactive
    • Media
    • Ravensburger
    • Tactics
    • Available
    • Like
    • Modes
    • Strategic
    • Also
    • Games
    • Multiplayer
    • Battle
  • fishtank interactive
    • Media
    • Ravensburger
    • Real-time
    • Stormregion
    • Tactics
    • Like
    • Modes
    • Strategic
    • Also
    • Games
    • Multiplayer
    • Battle
  • multiplayer
    • Like
    • Ravensburger
    • Real-time
    • Stormregion
    • Tactics
  • artillery
    • Mortar
    • Including
    • Many
    • Units
  • deathmatch
    • Including
    • Modes
    • Multiplayer
    • Many
  • steam
    • Gog
    • Games

Connections between topic areas Semantic bridges

For S.W.I.N.E., one of the stronger structural bridges in this analysis connects S.W.I.N.E. 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.

Min side: 3
S.W.I.N.E. — Overview · splits 6 ⟂ 13
S.W.I.N.E. — Reception · splits 16 ⟂ 3

Map overview Semantic statistics

S.W.I.N.E.

Nodes19
Edges18
Triples16
Avg. degree1.89
Density0.105263
Components1

Source & methodology

TTTA analyzes the structure around S.W.I.N.E. to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — S.W.I.N.E. · EN edition · Analysis: TopicsToTalkAbout

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