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Volks Inc. is a Japan-based corporation that produces garage kits and mecha kits as well as the Dollfie, Super Dollfie and Dollfie Dream lines of dolls. The company's headquarters is in Kyoto, with some 30 shops worldwide, and annual sales of about $50 million as of 2008.
The analysis highlights History, Companies, Art and Products as prominent areas in the source structure around Volks.
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 Volks shows recurring relationship patterns in the source. For example, Volks → Akihiro Enku, Aone, Artist Gentaro Araki, Ciera, Hideyuki Shigeta, Japan, Korea, Kyoto, Mayura, Mikey, Several, Shigeta, Some, Super Dollfie, Tenshi-no-Sato, Tenshi-no-Sumika, The, There, They, U-noss Another extracted example is Volks → Akihiro Enku, American Tenshi, California, Dollfie, In, In November, Los Angeles, Sumika, Super Dollfie, Volks USA. 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.
dollfie super dolls japan inc kyoto products also isbn shigeta garage kits headquarters created volks' line catalog asahi sonorama lines
TTTA extracted 56 structured relationships around Volks. Examples in this analysis include Volks → Founded → December 3, 1972; 53 years ago (1972-12-03) and Volks → Founder → Hideyuki Shigeta. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Volks | Founded | December 3, 1972; 53 years ago (1972-12-03) | 1.00 | infobox |
| Volks | Founder | Hideyuki Shigeta | 1.00 | infobox |
| Volks | Headquarters | Shimogyō-ku, Kyoto, Japan | 1.00 | infobox |
| Volks | Key people | Setsu Shigeta (Representative Director) | 1.00 | infobox |
| Volks | Native name | 株式会社ボークス | 1.00 | infobox |
| Volks | Products | Super Dollfie, Dollfie, Garage kits | 1.00 | infobox |
| Volks | Romanized name | Kabushiki-gaisha Bōkusu | 1.00 | infobox |
| Volks | Website | Official website | 1.00 | infobox |
| Chobits | instance of | They also have their own line of figures called A-Brand.They have also created Super Dollfie dolls based on characters from anime and manga | 0.80 | text |
| Maria-sama ga Miteru | instance of | They also have their own line of figures called A-Brand.They have also created Super Dollfie dolls based on characters from anime and manga | 0.80 | text |
| Rozen Maiden | instance of | They also have their own line of figures called A-Brand.They have also created Super Dollfie dolls based on characters from anime and manga | 0.80 | text |
| Volks | related to Corporate structure and products | Volks Inc | 0.60 | section |
The concept neighborhoods around Volks bring nearby vocabulary together. In this analysis, examples include Usa, Website and Figures. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Volks, one of the stronger structural bridges in this analysis connects Volks with Corporate structure and products. 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 Volks to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies, Art & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Volks · EN edition · Analysis: TopicsToTalkAbout