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Drupal (/ˈdruːpəl/) is a free and open-source web content management system (CMS) written in PHP and distributed under the GNU General Public License. Drupal provides an open-source back-end framework for at least 14% of the top 10,000 websites worldwide and 1.2% of the top 10 million websites—ranging from personal blogs to corporate, political, and…
The analysis highlights History and Community as prominent areas in the source structure around Drupal.
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 Drupal shows recurring relationship patterns in the source. For example, Drupal → Abbott/Jones, APress, April, August, Beighley, Berkeley, Bhavin, Birmingham, Brian, Butcher, Canada, Commerce, CS1, David, Designing, Dummies, Emma Hogbin, England, For Dummies, Front End Drupal Another extracted example is Drupal → As, Asia, Attendance, August, Austin, Camp, Cause, Coders, Coding, Drupal Camps, DrupalCamp, DrupalCon, Europe, Florida DrupalCamp, GLADCamp, Greater Los Angeles Drupal, January, June, North America, Smaller. 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.
core community modules content themes also system site web isbn released php new security management sites database users support website
TTTA extracted 205 structured relationships around Drupal. Examples in this analysis include Drupal → Developer → Drupal community and Drupal → License → GPL-2.0-or-later. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Drupal | Developer | Drupal community | 1.00 | infobox |
| Drupal | License | GPL-2.0-or-later | 1.00 | infobox |
| Drupal | Operating system | Unix-like, Windows | 1.00 | infobox |
| Drupal | Original author | Dries Buytaert | 1.00 | infobox |
| Drupal | Platform | Web platform | 1.00 | infobox |
| Drupal | Release | January 15, 2001; 25 years ago (2001-01-15) | 1.00 | infobox |
| Drupal | Repository | Drupal Repository | 1.00 | infobox |
| Drupal | Size | 100 MB | 1.00 | infobox |
| Drupal | Stable release | 11.4.1 / 3 July 2026; 52 days ago | 1.00 | infobox |
| Drupal | Type | Content management framework Content management system Blog software Open source Knowledge management | 1.00 | infobox |
| Drupal | Website | drupal.org | 1.00 | infobox |
| Drupal | Written in | PHP, using Symfony | 1.00 | infobox |
| Drupal | is a | framework dedicated for building sites accessible to people with disabilities because many of the best practices have been incorporated into Drupal Core.Drupal 8 saw many improv… | 0.90 | text |
The concept neighborhoods around Drupal bring nearby vocabulary together. In this analysis, examples include Core, Community and Themes. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Drupal, one of the stronger structural bridges in this analysis connects Drupal with Community. 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 Drupal to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Community, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Drupal · EN edition · Analysis: TopicsToTalkAbout