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Vket, also known in full as Virtual Market, is a virtual market event that has been hosted on the social platform VRChat since its inception in 2018. The event was created by VRChat player "Phio", and is organised by the Japanese virtual events business, Hikky. To date, fifteen events have been held at a frequency of two per year. Brands including…
The analysis highlights History and Music as prominent areas in the source structure around Vket.
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 Vket shows recurring relationship patterns in the source. For example, Vket → After, Akihabara, August, Basket, Bellesalle, Bellesalle Akihabara, CGWorld, December, Future, Harajuku, Ikebukuro, In, It, Japan Racing Association, July, Michael Wilson, Namba Midosuji Hall, Native American Basketry, Nevada, Osaka Another extracted example is Vket → After, Alchemist, Anime Expo, August, Booth, Chief Virtual Officer, Comiket, Companies, Etsy, Exhibitors, For, Funakoshi, Gugenka, Hikky, Holdings, Japan, Japanese, Mika Sawae, Nekomasu, Nijisanji. 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.
event virtual vrchat events hikky held market musicvket also comicvket avatar hosted including booths phio able visitors using vketreal metaverse
TTTA extracted 172 structured relationships around Vket. Examples in this analysis include Vket → Country → Global and Vket → Founder → Phio. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Vket | Country | Global | 1.00 | infobox |
| Vket | Founder | Phio | 1.00 | infobox |
| Vket | Frequency | Twice yearly | 1.00 | infobox |
| Vket | Genre | Virtual market event | 1.00 | infobox |
| Vket | Inaugurated | 26 August 2018; 7 years ago (2018-08-26) | 1.00 | infobox |
| Vket | Nickname | Vket | 1.00 | infobox |
| Vket | Organised by | Hikky | 1.00 | infobox |
| Vket | Previous event | Virtual Market 2026 Summer (11–26 July 2026) | 1.00 | infobox |
| Vket | Status | Active | 1.00 | infobox |
| Vket | Venue | VRChat | 1.00 | infobox |
| Vket | Website | Vket | 1.00 | infobox |
| fashion become | instance of | human expressions | 0.80 | text |
The concept neighborhoods around Vket bring nearby vocabulary together. In this analysis, examples include Cloud, Events and Avatar. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Vket, one of the stronger structural bridges in this analysis connects Vket with VketReal. 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 Vket to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Music, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Vket · EN edition · Analysis: TopicsToTalkAbout