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WallaMe is a free iOS and Android app that allows users to hide and share messages in the real world using augmented reality.
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around WallaMe.
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.
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The extracted context around WallaMe shows recurring relationship patterns in the source. For example, WallaMe → London, Venturebeat, WallaMe Ltd Another extracted example is WallaMe → English, Italian, German, Spanish. 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.
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TTTA extracted 11 structured relationships around WallaMe. Examples in this analysis include WallaMe → Available in → English, Italian, German, Spanish and WallaMe → Developer → Wallame Ltd.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| WallaMe | Available in | English, Italian, German, Spanish | 1.00 | infobox |
| WallaMe | Developer | Wallame Ltd. | 1.00 | infobox |
| WallaMe | Operating system | iOS 7.0 or later; Android 4.1 or later | 1.00 | infobox |
| WallaMe | Release | 2015; 11 years ago (2015) | 1.00 | infobox |
| WallaMe | Type | Photo and video | 1.00 | infobox |
| WallaMe | Website | walla.me | 1.00 | infobox |
| WallaMe | is a | free iOS and Android app that allows users to hide and share messages in the real world using augmented reality.Users can take a picture of a surface around them and write | 0.90 | text |
| WallaMe | related to Awards | Product Hunt | 0.60 | section |
| WallaMe | related to Developers | WallaMe Ltd | 0.60 | section |
| WallaMe | related to Developers | London | 0.60 | section |
| WallaMe | related to Developers | Venturebeat | 0.60 | section |
The concept neighborhoods around WallaMe bring nearby vocabulary together. In this analysis, examples include Ltd, Augmented and Reality. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the WallaMe map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around WallaMe to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — WallaMe · EN edition · Analysis: TopicsToTalkAbout
