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David Levithan (born September 7, 1972) is an American young adult fiction author and editor. He has written numerous works featuring strong male gay characters, most notably Boy Meets Boy and Naomi and Ely's No Kiss List. Six of Levithan's books have won or been finalists for the Lambda Literary Award for Children's and Young Adult Literature, making…
The analysis highlights Works, Career and Literary Connections as prominent areas in the source structure around David Levithan.
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 Levithan shows recurring relationship patterns in the source. For example, David Levithan → Archived, Children, Congress, IMDb, Internet Speculative Fiction DatabaseDavid, Levitan, Levithan, Library, Official, Wayback MachineDavid Levithan, Young Adult Literature Another extracted example is David Levithan → Boy Meets Boy, Nick and Norah's Infinite Playlist, Wide Awake, Will Grayson, Will Grayson. 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.
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TTTA extracted 23 structured relationships around David Levithan. Examples in this analysis include David Levithan → Alma mater → Brown University and David Levithan → Born → (1972-09-07) September 7, 1972 (age 53) Short Hills, New Jersey, U.S.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| David Levithan | Alma mater | Brown University | 1.00 | infobox |
| David Levithan | Born | (1972-09-07) September 7, 1972 (age 53) Short Hills, New Jersey, U.S. | 1.00 | infobox |
| David Levithan | Education | Double major in English and Political Science | 1.00 | infobox |
| David Levithan | Genres | Young adult fiction; fantasy, supernatural fiction | 1.00 | infobox |
| David Levithan | Notable awards | Lambda Literary Award 2003 Boy Meets Boy Lambda Literary Award 2006 The Full Spectrum | 1.00 | infobox |
| David Levithan | Notable works | Boy Meets Boy | 1.00 | infobox |
| David Levithan | Notable works | Wide Awake | 1.00 | infobox |
| David Levithan | Notable works | Nick and Norah's Infinite Playlist | 1.00 | infobox |
| David Levithan | Notable works | Will Grayson, Will Grayson | 1.00 | infobox |
| David Levithan | Occupations | Writer, editor | 1.00 | infobox |
| David Levithan | Period | 2003–present | 1.00 | infobox |
| David Levithan | Website | davidlevithan.com | 1.00 | infobox |
The concept neighborhoods around David Levithan bring nearby vocabulary together. In this analysis, examples include Fiction, Editor and New. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For David Levithan, one of the stronger structural bridges in this analysis connects David Levithan 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 David Levithan to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Career & 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 — David Levithan · EN edition · Analysis: TopicsToTalkAbout