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MailScanner is an open source email security system for use on Unix email gateways and was first released in 2001. It protects against viruses, spam, malware, and phishing. It is distributed under the GNU General Public License.
The analysis highlights Technology and Overview as prominent areas in the source structure around MailScanner.
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 MailScanner shows recurring relationship patterns in the source. For example, MailScanner → Anti-spam, Anti-virus, ClamAV, Email, It, MTA, Perl, SpamAssassin Another extracted example is MailScanner → Field's, OSS Watch, Wiki. 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.
software email project developer open source gnu january system license shawn iverson julian process per links website unix viruses spam
TTTA extracted 18 structured relationships around MailScanner. Examples in this analysis include MailScanner → Developer → Shawn Iverson and MailScanner → License → GPL. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| MailScanner | Developer | Shawn Iverson | 1.00 | infobox |
| MailScanner | License | GPL | 1.00 | infobox |
| MailScanner | Operating system | Cross-platform | 1.00 | infobox |
| MailScanner | Repository | github.com/MailScanner/v5 | 1.00 | infobox |
| MailScanner | Stable release | 5.3.4 / 4 December 2020 | 1.00 | infobox |
| MailScanner | Type | Email filtering | 1.00 | infobox |
| MailScanner | Website | www.mailscanner.info | 1.00 | infobox |
| MailScanner | related to External links | Wiki | 0.60 | section |
| MailScanner | related to External links | OSS Watch | 0.60 | section |
| MailScanner | related to External links | Field's | 0.60 | section |
| MailScanner | related to Technology | Perl | 0.60 | section |
| MailScanner | related to Technology | It | 0.60 | section |
The concept neighborhoods around MailScanner bring nearby vocabulary together. In this analysis, examples include System, Website and Gateways. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For MailScanner, one of the stronger structural bridges in this analysis connects MailScanner 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 MailScanner 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 — MailScanner · EN edition · Analysis: TopicsToTalkAbout