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iMesh was a media and file sharing client that was available in nine languages. It used a proprietary, centralized, P2P network (IM2Net) operating on ports 80, 443 and 1863. iMesh was owned by American company iMesh, Inc., who maintained development centers around the world. As of 2009, it was the third most popular music subscription service in the US.
The analysis highlights Companies, Legal aspects and Shutdown as prominent areas in the source structure around IMesh.
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 IMesh shows recurring relationship patterns in the source. For example, IMesh → After, Due, Facebook, Multiple Facebook, On June, Stay, Thank, Their, Their Support, They, We Another extracted example is IMesh → America, Grokster, July, On September, Recording Industry Association, RIAA, US. 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.
service music available subscription p2p riaa website client users operating us download later third residing either proprietary inc network company
TTTA extracted 33 structured relationships around IMesh. Examples in this analysis include IMesh → Developers → iMesh, Inc. and IMesh → License → Proprietary. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| IMesh | Developers | iMesh, Inc. | 1.00 | infobox |
| IMesh | License | Proprietary | 1.00 | infobox |
| IMesh | Operating system | Windows | 1.00 | infobox |
| IMesh | Release | November 1999; 26 years ago (1999-11) | 1.00 | infobox |
| IMesh | Size | 14.0 MB | 1.00 | infobox |
| IMesh | Type | Peer-to-peer | 1.00 | infobox |
| IMesh | Website | Official website (archive) | 1.00 | infobox |
| IMesh | Written in | C++ | 1.00 | infobox |
| the Open Music Model | instance of | This subscription-based approach is advocated by theories | 0.80 | text |
| IMesh | related to Legality | After | 0.60 | section |
| IMesh | related to Legality | P2P | 0.60 | section |
| IMesh | related to Legality | RIAA | 0.60 | section |
The concept neighborhoods around IMesh bring nearby vocabulary together. In this analysis, examples include Download, Operating and P2p. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For IMesh, one of the stronger structural bridges in this analysis connects IMesh with Overview. 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 IMesh to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Legal aspects & Shutdown, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — IMesh · EN edition · Analysis: TopicsToTalkAbout