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SwellRT was a free and open-source backend-as-a-service and API focused to ease development of apps featuring real-time collaboration. It supported the building of mobile and web apps, and aims to facilitate interoperability and federation.
The analysis highlights History and Technology as prominent areas in the source structure around SwellRT.
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 SwellRT shows recurring relationship patterns in the source. For example, SwellRT → And, Apache Wave, Applied Sciences, Berkman Klein Center, Center, Code, Computation, Contributor Covenant, Decentralized Web Summit, Engineering, Google Summer, Harvard University, Harvard's School, In, India, Internet, Internet Archive, It, Matrix, Operational Transformation Another extracted example is SwellRT → Android, Apache Wave, GWT, However, It, Its, Java, JavaScript API, JSInterop, Matrix, Real-time, This, Wave, Wave's Operational Transformations, Web, XMPP. 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.
wave apache apps collaborative web real-time project approach using federation code free api objects org within 2016 several source based
TTTA extracted 82 structured relationships around SwellRT. Examples in this analysis include SwellRT → Developers → Pablo Ojanguren & others and SwellRT → License → Apache License. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| SwellRT | Developers | Pablo Ojanguren & others | 1.00 | infobox |
| SwellRT | License | Apache License | 1.00 | infobox |
| SwellRT | Operating system | Cross-platform | 1.00 | infobox |
| SwellRT | Original authors | Pablo Ojanguren & others, from the GRASIA research group, at Universidad Complutense de Madrid | 1.00 | infobox |
| SwellRT | Release | July 1, 2015; 11 years ago (2015-07-01) | 1.00 | infobox |
| SwellRT | Repository | github.com/SwellRT/swellrt | 1.00 | infobox |
| SwellRT | Stable release | 0.2.0-beta / September 30, 2017; 8 years ago (2017-09-30) | 1.00 | infobox |
| SwellRT | Type | Web framework Backend as a service | 1.00 | infobox |
| SwellRT | Website | swellrt.org | 1.00 | infobox |
| SwellRT | Written in | Java, JavaScript | 1.00 | infobox |
| SwellRT | has application | Apart | 0.60 | section |
| SwellRT | has application | Android | 0.60 | section |
The concept neighborhoods around SwellRT bring nearby vocabulary together. In this analysis, examples include Wave, Code and Using. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For SwellRT, one of the stronger structural bridges in this analysis connects SwellRT 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 SwellRT to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — SwellRT · EN edition · Analysis: TopicsToTalkAbout