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iFanzy was a personalized electronic television program guide (EPG) developed by Stoneroos, a Dutch interactive television developer, in cooperation with the Eindhoven University of Technology. The iFanzy TV Guide was introduced in 2009, and available from the Google Play Store and Apple App Store.
The analysis highlights Technology and Overview as prominent areas in the source structure around IFanzy.
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 IFanzy shows recurring relationship patterns in the source. For example, IFanzy → 2009 Another extracted example is IFanzy → technology. 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.
epg stoneroos personalized guide developed technology television interactive eindhoven university philips electronic program dutch developer cooperation tv introduced 2009 available
TTTA extracted 4 structured relationships around IFanzy. Examples in this analysis include IFanzy → Founded → 2009 and IFanzy → Industry → technology. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| IFanzy | Founded | 2009 | 1.00 | infobox |
| IFanzy | Industry | technology | 1.00 | infobox |
| IFanzy | Parent | Stoneroos | 1.00 | infobox |
| IFanzy | Services | EPG | 1.00 | infobox |
The concept neighborhoods around IFanzy bring nearby vocabulary together. In this analysis, examples include Epg, Developed and Eindhoven. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the IFanzy map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around IFanzy to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Technology & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — IFanzy · EN edition · Analysis: TopicsToTalkAbout
