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Miiverse was a social networking service developed by Nintendo that operated from 2012 to 2017. The platform was primarily geared for use on Nintendo 3DS and Wii U, but was also available via any web browser. The service was created by Nintendo System Development and Hatena, and powered by the Nintendo Network. Miiverse was integrated into several 3DS…
The analysis highlights History, Legacy and Measurement as prominent areas in the source structure around Miiverse.
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 Miiverse shows recurring relationship patterns in the source. For example, Miiverse → Asynchronous Transgressions, CCD, Computer Science, Crete, Cross-Cultural Design, Faltin, February, Games, Gamifying Content Culture, Greece, HCI International, Held, Heraklion, In Jørgensen, In Rau, International Conference, Invasions, ISBN, ISSN, JUMP Another extracted example is Miiverse → After, Animal Crossing, At, Cloud Game Diary, During, E3 Nintendo Direct, Eguchi, Facebook, Gamepad, Hatena, Hisashi Nogami, Home Menu, Iwata, Japanese-exclusive Wii, June, Junya Kondo, Katsuya Eguchi, Kiyoshi Mizuki, Kouichi Kawamoto, Ma. 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.
nintendo wii service 3ds users would games platform posts game social 2017 dedicated could network super also june 2013 miiverse's
TTTA extracted 185 structured relationships around Miiverse. Examples in this analysis include Miiverse → Developer → Nintendo and Miiverse → Developer → Hatena. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Miiverse | Developer | Nintendo | 1.00 | infobox |
| Miiverse | Developer | Hatena | 1.00 | infobox |
| Miiverse | Developer | Denyu-sha | 1.00 | infobox |
| Miiverse | Discontinued | November 8, 2017; 8 years ago (2017-11-08) | 1.00 | infobox |
| Miiverse | Last updated | December 10, 2015 | 1.00 | infobox |
| Miiverse | Launch date | November 18, 2012 (Wii U) | 1.00 | infobox |
| Miiverse | Launch date | April 24, 2013 (smartphone, tablet & PC) | 1.00 | infobox |
| Miiverse | Launch date | December 9, 2013 (Nintendo 3DS) | 1.00 | infobox |
| Miiverse | Platforms | Wii U | 1.00 | infobox |
| Miiverse | Platforms | Smartphone/tablet/PC | 1.00 | infobox |
| Miiverse | Platforms | Nintendo 3DS family | 1.00 | infobox |
| Miiverse | Status | Discontinued on November 8, 2017 (all platforms) | 1.00 | infobox |
| Miiverse | Type | Social networking service | 1.00 | infobox |
| Miiverse | Website | Official website (no longer exists) | 1.00 | infobox |
The concept neighborhoods around Miiverse bring nearby vocabulary together. In this analysis, examples include Wii, 3ds and Nintendo. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Miiverse, one of the stronger structural bridges in this analysis connects Miiverse 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 Miiverse to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Legacy & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Miiverse · EN edition · Analysis: TopicsToTalkAbout