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David Mathews (c. 1739 – July 28, 1800) was an American born British lawyer and politician from New York City. He was a Loyalist during the American Revolutionary War and was the 44th and last Colonial Mayor of New York City from 1776 until 1783. As New York City was the center of British control of the Colonies during the war, he was one of the highest…
The analysis highlights Legacy and Career as prominent areas in the source structure around David Mathews.
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 David Mathews shows recurring relationship patterns in the source. For example, David Mathews → British-born Mathews, Bronx, Loyalist, Mathews, Mathews Muliner Playground, New York City, New York City Department, Nova Scotia, Parks, Part, Petersfield Provincial Park, Recreation, The Mathews, Westmount Another extracted example is David Mathews → Princeton University (AM). 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.
mathews new york british washington 1776 war mayor governor mathews' city nova scotia american george james general william house fletcher
TTTA extracted 20 structured relationships around David Mathews. Examples in this analysis include David Mathews → Alma mater → Princeton University (AM) and David Mathews → Born → c. 1739 New York, British America. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| David Mathews | Alma mater | Princeton University (AM) | 1.00 | infobox |
| David Mathews | Born | c. 1739 New York, British America | 1.00 | infobox |
| David Mathews | Died | July 28, 1800 (aged 60-61) Sydney, Nova Scotia | 1.00 | infobox |
| David Mathews | Preceded by | Whitehead Hicks | 1.00 | infobox |
| David Mathews | Spouse | .mw-parser-output .marriage-line-margin2px{line-height:0;margin-bottom:-2px}.mw-parser-output .marriage-line-margin3px{line-height:0;margin-bottom:-3px}.mw-parser-output .marria… | 1.00 | infobox |
| David Mathews | Succeeded by | James Duane | 1.00 | infobox |
| David Mathews | related to Legacy | The Mathews | 0.60 | section |
| David Mathews | related to Legacy | Petersfield Provincial Park | 0.60 | section |
| David Mathews | related to Legacy | Westmount | 0.60 | section |
| David Mathews | related to Legacy | Nova Scotia | 0.60 | section |
| David Mathews | related to Legacy | New York City | 0.60 | section |
| David Mathews | related to Legacy | Bronx | 0.60 | section |
The concept neighborhoods around David Mathews bring nearby vocabulary together. In this analysis, examples include City, Died and Located. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For David Mathews, one of the stronger structural bridges in this analysis connects David Mathews with Career. 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 David Mathews to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Legacy & Career, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — David Mathews · EN edition · Analysis: TopicsToTalkAbout