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Patrick Ness FRSL (born 17 October 1971) is an American-British author, journalist, lecturer, and screenwriter. Born in the United States, Ness moved to London and holds dual citizenship. He is best known for his books for young adults, including the Chaos Walking (2008–2010) trilogy and A Monster Calls (2011).
The analysis highlights Works, Career, Literary Connections and Measurement as prominent areas in the source structure around Patrick Ness.
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 Patrick Ness shows recurring relationship patterns in the source. For example, Patrick Ness → British Council, Congress, Go, International Literature Festival Berlin, Internet Speculative Fiction DatabasePatrick, Knife Of Never Letting, Library, LiteraturePatrick Ness, Ness, Official Another extracted example is Patrick Ness → Author, producer, writer. 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.
ness books isbn ed walker pp monster calls young 2013 hardcover chaos walking published book short stories writer born first
TTTA extracted 19 structured relationships around Patrick Ness. Examples in this analysis include Patrick Ness → Alma mater → University of Southern California and Patrick Ness → Born → (1971-10-17) 17 October 1971 (age 54) Fort Belvoir, Virginia, U.S.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Patrick Ness | Alma mater | University of Southern California | 1.00 | infobox |
| Patrick Ness | Born | (1971-10-17) 17 October 1971 (age 54) Fort Belvoir, Virginia, U.S. | 1.00 | infobox |
| Patrick Ness | Genre | Young adult | 1.00 | infobox |
| Patrick Ness | Notable works | Chaos Walking | 1.00 | infobox |
| Patrick Ness | Notable works | A Monster Calls | 1.00 | infobox |
| Patrick Ness | Occupations | Author | 1.00 | infobox |
| Patrick Ness | Occupations | writer | 1.00 | infobox |
| Patrick Ness | Occupations | producer | 1.00 | infobox |
| Patrick Ness | Spouses | .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 |
| Patrick Ness | related to External links/sources | Official | 0.60 | section |
| Patrick Ness | related to External links/sources | Ness | 0.60 | section |
| Patrick Ness | related to External links/sources | British Council | 0.60 | section |
The concept neighborhoods around Patrick Ness bring nearby vocabulary together. In this analysis, examples include Works, Author and Born. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Patrick Ness, one of the stronger structural bridges in this analysis connects Patrick Ness 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 Patrick Ness to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Career, Literary Connections & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Patrick Ness · EN edition · Analysis: TopicsToTalkAbout