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S-PLUS was a commercial implementation of the S programming language sold by TIBCO Software Inc.
The analysis highlights History, Historical timeline and Overview as prominent areas in the source structure around S-PLUS. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
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 S-PLUS shows recurring relationship patterns in the source. For example, S-PLUS → At, Bell Laboratories, Douglas Martin, GLIM, In, Inc, Martin, Seattle, Seattle-based, Source, Statistical Sciences, The, University, Washington Another extracted example is S-PLUS → TIBCO Software Inc.. 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.
released software windows tibco unix statistical language linux inc programming analysis package data library insightful developed capabilities also release operating
TTTA extracted 22 structured relationships around S-PLUS. Examples in this analysis include S-PLUS → Developer → TIBCO Software Inc. and S-PLUS → License → Proprietary. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| S-PLUS | Developer | TIBCO Software Inc. | 1.00 | infobox |
| S-PLUS | License | Proprietary | 1.00 | infobox |
| S-PLUS | Operating system | Windows, Unix/Linux | 1.00 | infobox |
| S-PLUS | Stable release | 8.2 / November 2010; 15 years ago (2010-11) | 1.00 | infobox |
| S-PLUS | Type | Statistical package | 1.00 | infobox |
| an updated GUI | instance of | with features | 0.80 | text |
| integration with Excel | instance of | with features | 0.80 | text |
| and editable graphics | instance of | with features | 0.80 | text |
| S-PLUS | related to Historical timeline | Source | 0.60 | section |
| S-PLUS | related to Historical timeline | In | 0.60 | section |
| S-PLUS | related to Historical timeline | Seattle-based | 0.60 | section |
| S-PLUS | related to Historical timeline | Statistical Sciences | 0.60 | section |
The concept neighborhoods around S-PLUS bring nearby vocabulary together. In this analysis, examples include Released, Windows and Software. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For S-PLUS, one of the stronger structural bridges in this analysis connects S-PLUS with Historical timeline. 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 S-PLUS to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Historical timeline & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — S-PLUS · EN edition · Analysis: TopicsToTalkAbout