Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Amiibo (/əˈmiːboʊ/, ə-MEE-boh; plural: Amiibo, stylized as amiibo) is a toys-to-life platform by Nintendo, which was released in North America, Europe, and Australia in November 2014, followed by Japan a month later. It consists of a wireless communications and storage protocol for connecting figurines to the Wii U, Nintendo 3DS, Nintendo Switch and…
The analysis highlights History and Regions as prominent areas in the source structure around Amiibo.
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 Amiibo shows recurring relationship patterns in the source. For example, Amiibo → Animal Crossing, Australia, Dark Hammer Slam Bowser, Dark Turbo Charge Donkey, EB Games, GamePlanet, Gold Edition, Greninja, Ike, In Australia, In North America, Kong, Mario, Mexican, Mighty Ape, New Leaf, New Zealand, North America, Official Nintendo AU/NZ, Pack Another extracted example is Amiibo → Amazon, Fiscal Year Ending March, GameStop's, In Nintendo's, Iwata, May, Nintendo, On April, Palutena Amiibo, Princess Peach, Quarter Financial Results Briefing, Samus, Satoru Iwata, September, Silver Mario Amiibo, Splatoon, Super Mario, Super Smash Bros, The, Upon. 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 games figurines series game wii 3ds toys nfc 2015 super new mario cards use platform data figurine switch video
TTTA extracted 137 structured relationships around Amiibo. Examples in this analysis include Amiibo → Developed by → Nintendo and Amiibo → International standard → Near field communication. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Amiibo | Developed by | Nintendo | 1.00 | infobox |
| Amiibo | International standard | Near field communication | 1.00 | infobox |
| Amiibo | Website | www.nintendo.com/amiibo | 1.00 | infobox |
| the corresponding character's statistics | instance of | and could store data on the figurine itself | 0.80 | text |
| Wii Fit Trainer | instance of | rarer Amiibo toys | 0.80 | text |
| Meta Knight | instance of | rarer Amiibo toys | 0.80 | text |
| and Ike have been receiving limited re-releases in North America | instance of | rarer Amiibo toys | 0.80 | text |
| Kotaku came out in favour of Best Buy's practice | instance of | While some news sources | 0.80 | text |
| alternatively in response to this | instance of | While some news sources | 0.80 | text |
| Amiibo | related to Amiibo data communication | Supported | 0.60 | section |
| Amiibo | related to Amiibo data communication | NFC | 0.60 | section |
| Amiibo | related to Amiibo data communication | Each Amiibo | 0.60 | section |
The concept neighborhoods around Amiibo bring nearby vocabulary together. In this analysis, examples include Nintendo, Games and New. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Amiibo, one of the stronger structural bridges in this analysis connects Amiibo with History. 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 Amiibo to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Amiibo · EN edition · Analysis: TopicsToTalkAbout