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Shareaza is a peer-to-peer file sharing client running under Microsoft Windows which supports the Gnutella, Gnutella2 (G2), eDonkey, BitTorrent, FTP, HTTP and HTTPS[citation needed] network protocols and handles magnet links, ed2k links, and the now deprecated gnutella and Piolet links. It is available in 30 languages.
The analysis highlights History and Overview as prominent areas in the source structure around Shareaza.
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 Shareaza shows recurring relationship patterns in the source. For example, Shareaza → August, BitTorrent, Content, Cyprus, De Phonogrammes En France, December, Discordia, Discordia Ltd, Discordia's, DRM-protected, From, G2, Gnutella, In, January, Jon Nilson, La Societe Des Producteurs, November, October, On Another extracted example is Shareaza → BitTorrent, Gnucleus, Gnutella, Gnutella2, GPL-2, In, It, LimeWire, On June, Over, Release, Sharaza ChangeLog, Shareaza V4, Stokes, Version, Windows. 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.
version released bittorrent gnutella v2 client support windows june imesh sourceforge release stokes edonkey development team network software domain original
TTTA extracted 84 structured relationships around Shareaza. Examples in this analysis include Shareaza → Available in → 30 languages and Shareaza → License → GPL-2.0-or-later. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Shareaza | Available in | 30 languages | 1.00 | infobox |
| Shareaza | License | GPL-2.0-or-later | 1.00 | infobox |
| Shareaza | Operating system | Windows 2000 and later | 1.00 | infobox |
| Shareaza | Original author | Michael Stokes | 1.00 | infobox |
| Shareaza | Preview release | None [±] | 1.00 | infobox |
| Shareaza | Release | 2002; 24 years ago (2002) | 1.00 | infobox |
| Shareaza | Repository | svn.code.sf.net/p/shareaza/code/ | 1.00 | infobox |
| Shareaza | Size | 6.32 MB (32-bit), 6.82 MB (64-bit) | 1.00 | infobox |
| Shareaza | Stable release | 2.7.10.2 / 18 September 2017; 8 years ago (18 September 2017) | 1.00 | infobox |
| Shareaza | Type | Peer-to-peer file sharing | 1.00 | infobox |
| Shareaza | Website | shareaza.sourceforge.net | 1.00 | infobox |
| Shareaza | Written in | C++ with MFC and Boost | 1.00 | infobox |
| Shareaza | is a | peer-to-peer file sharing client running under Microsoft Windows which supports the Gnutella | 0.90 | text |
The concept neighborhoods around Shareaza bring nearby vocabulary together. In this analysis, examples include Released, Version and Client. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Shareaza, one of the stronger structural bridges in this analysis connects Shareaza with History. 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 Shareaza to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Shareaza · EN edition · Analysis: TopicsToTalkAbout