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SmallWorlds: Applications, Art & Companies

SmallWorlds was an online virtual world and social network service created by Outsmart Games, a game development company based in Auckland, New Zealand. The virtual world used Adobe Flash and ran inside a web browser, as Google Chrome was most recommended when playing this game. It integrated with YouTube, Flickr, SoundCloud, and a number of other Web…

Language: English [EN]
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SmallWorlds topic overview

The analysis highlights Applications, Art and Companies as prominent areas in the source structure around SmallWorlds.

Related topics
18
Source areas
7
Connected nodes
25
Extracted relationships
43
Related term clusters
11
Bridge connections
25

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 · 9 topics
Awards · 2 topics
In education · 2 topics
Users · 2 topics
Business Model · 1 topics
Decline and shutdown · 1 topics
Updates · 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.

Developer
Outsmart Games
Genres
Adventure, RPG
Mode
Multiplayer
Release
2008

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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

Awards

Users

In education

Business Model

Updates

Decline and shutdown

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How SmallWorlds connects Entity context

The extracted context around SmallWorlds shows recurring relationship patterns in the source. For example, SmallWorlds → April, Gold, In February, March, MiniMundos, New Zealand, Players, VIP Another extracted example is SmallWorlds → Bebo, Facebook, Hi5, In February, MySpace, SoundCloud, With SmallWorlds, YouTube. Use these groups to spot repeated connection types before inspecting the individual relationships.

SmallWorlds

Top relations

related to Decline and shutdown · 8
SmallWorlds → April, Gold, In February, March, MiniMundos, New Zealand, Players, VIP
related to Partnerships and integration with social media · 8
SmallWorlds → Bebo, Facebook, Hi5, In February, MySpace, SoundCloud, With SmallWorlds, YouTube
related to Updates · 8
SmallWorlds → Also, April, Beta, December, June, Kudos, Several, XP
related to Awards · 3
SmallWorlds → Adobe MAX Awards, In October, Social Computing
related to Users · 3
SmallWorlds → Second Life, SmallWorld's Gold, VIP
related to In education · 2
SmallWorlds → Christchurch, New Zealand Virtual School
related to Levelling · 2
SmallWorlds → Players, PVP
Developer · 1
SmallWorlds → Outsmart Games
Genres · 1
SmallWorlds → Adventure, RPG
Mode · 1
SmallWorlds → Multiplayer

Important terminology

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

Important terminology

game players new virtual world 2018 social april company games online service web message called vip gold development zealand used

SmallWorlds relationships Subject–Predicate–Object triples

TTTA extracted 43 structured relationships around SmallWorlds. Examples in this analysis include SmallWorlds → Developer → Outsmart Games and SmallWorlds → Genres → Adventure, RPG. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
SmallWorldsDeveloperOutsmart Games1.00infobox
SmallWorldsGenresAdventure, RPG1.00infobox
SmallWorldsModeMultiplayer1.00infobox
SmallWorldsRelease20081.00infobox
further character customizationinstance ofThis gave users extra game options0.80text
clothinginstance ofThis gave users extra game options0.80text
wearable optionsinstance ofThis gave users extra game options0.80text
and other special perks not available to free usersinstance ofThis gave users extra game options0.80text
SmallWorldsrelated to AwardsIn October0.60section
SmallWorldsrelated to AwardsSocial Computing0.60section
SmallWorldsrelated to AwardsAdobe MAX Awards0.60section
SmallWorldsrelated to Business ModelVIP0.60section

Related concept clusters Related term clusters

The concept neighborhoods around SmallWorlds bring nearby vocabulary together. In this analysis, examples include Players, Social and New. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • SmallWorlds
    • Players
    • Social
    • New
    • December
    • Development
    • Launched
    • One
    • Company
    • Games
    • Gold
    • Vip
    • Virtual
  • smallworlds
    • Players
    • Social
    • New
    • December
    • Development
    • Launched
    • One
    • Company
    • Games
    • Gold
    • Vip
    • Virtual
  • new zealand
    • Development
    • Called
    • New
    • Zealand
    • Virtual
    • Also
    • Outsmart
    • Project
    • One
    • Service
    • Shrinking
    • Used
  • social network service
    • Company
    • Message
    • Stated
    • Outsmart
    • Website
    • Development
    • Zealand
    • Games
    • One
    • Social
    • Users
    • World
  • virtual world
    • World
    • Used
    • Playing
    • One
    • Zealand
    • Gold
    • Vip
    • Could
    • Life
    • Web
    • Free
    • Project
  • social computing
    • One
    • Users
    • Zealand
    • World
    • Virtual
    • Players
  • youtube
    • Soundcloud
    • Could
    • Users
    • Web
    • Smallworlds
  • soundcloud
    • Youtube
    • Could
    • Users
    • Web

Connections between topic areas Semantic bridges

For SmallWorlds, one of the stronger structural bridges in this analysis connects SmallWorlds 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
SmallWorlds — Overview · splits 16 ⟂ 10
SmallWorlds — Awards · splits 23 ⟂ 3
SmallWorlds — Users · splits 23 ⟂ 3
SmallWorlds — In education · splits 23 ⟂ 3

Map overview Semantic statistics

SmallWorlds

Nodes26
Edges25
Triples43
Avg. degree1.92
Density0.076923
Components1

Source & methodology

TTTA analyzes the structure around SmallWorlds to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — SmallWorlds · EN edition · Analysis: TopicsToTalkAbout

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