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Mark Haddon (born 26 September 1962, Northampton) is an English novelist, best known for The Curious Incident of the Dog in the Night-Time (2003). He won the Whitbread Award, the Dolly Gray Children's Literature Award, the Guardian Prize, and a Commonwealth Writers' Prize for his work.
The analysis highlights Works, Research and Literary Connections as prominent areas in the source structure around Mark Haddon. 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 Mark Haddon shows recurring relationship patterns in the source. For example, Mark Haddon → Bother, British Council, Coming Down, Dog, Haddon, Hadley, Hadley Freeman, IMDbMark Haddon, Interview, June, LiteratureMark Haddon, London, Mark, May, MountainFreeman, Night-time, Novelist Mark Haddon, Official, Retrieved, Spot Another extracted example is Mark Haddon → Guardian Prize 2003, Whitbread Book of the Year 2003. 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.
haddon curious incident 2003 guardian prize mark dog night-time work book children's literature wrote long short fog won northampton also
TTTA extracted 34 structured relationships around Mark Haddon. Examples in this analysis include Mark Haddon → Alma mater → Merton College, Oxford Uppingham School Spratton Hall School and Mark Haddon → Born → (1962-09-26) 26 September 1962 (age 63) Northampton, Northamptonshire, England. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Mark Haddon | Alma mater | Merton College, Oxford Uppingham School Spratton Hall School | 1.00 | infobox |
| Mark Haddon | Born | (1962-09-26) 26 September 1962 (age 63) Northampton, Northamptonshire, England | 1.00 | infobox |
| Mark Haddon | Children | 2 | 1.00 | infobox |
| Mark Haddon | Education | MA, English Literature | 1.00 | infobox |
| Mark Haddon | Genres | Novels, children's literature, poetry, screenplays, radio drama | 1.00 | infobox |
| Mark Haddon | Notable awards | Whitbread Book of the Year 2003 | 1.00 | infobox |
| Mark Haddon | Notable awards | Guardian Prize 2003 | 1.00 | infobox |
| Mark Haddon | Occupations | Writer, illustrator | 1.00 | infobox |
| Mark Haddon | Period | 1987–present | 1.00 | infobox |
| Mark Haddon | Spouse | Sos Eltis | 1.00 | infobox |
| Mark Haddon | Website | markhaddon.com | 1.00 | infobox |
| Mark Haddon | related to External links | Official | 0.60 | section |
The concept neighborhoods around Mark Haddon bring nearby vocabulary together. In this analysis, examples include Dog, Night-time and Novelist. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Mark Haddon, one of the stronger structural bridges in this analysis connects Mark Haddon with Works. 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 Mark Haddon to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Research & Literary Connections, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Mark Haddon · EN edition · Analysis: TopicsToTalkAbout