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The Da Vinci Code is a 2003 mystery thriller novel by Dan Brown. It is one of the best-selling American novels of all time.
The analysis highlights Literary Connections, Plot and Reaction as prominent areas in the source structure around The Da Vinci Code.
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.
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The extracted context around The Da Vinci Code shows recurring relationship patterns in the source. For example, The Da Vinci Code → Appeal, Appeals, Author Lewis Perdue, Baigent, Baigent Leigh, Brown, Brown's, Court, Daughter, God, Grail, Henry Lincoln, High Court, Holy Grail, Judge George Daniels, July, Leigh, Leigh Teabing, Lincoln's, Michael Baigent Another extracted example is The Da Vinci Code → Akiva, Anchor, April, Bantam, Behind, Broadway, Brown, Corgi Adult, Dan, Doubleday, Goldsman, Howard, Illustrated Screenplay, Including, ISBN, January, Major English-language, Major Motion Picture, March, May. Use these groups to spot repeated connection types before inspecting the individual relationships.
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code da vinci brown book novel langdon jesus dan 2006 mary grail also history magdalene film brown's leigh holy neveu
TTTA extracted 92 structured relationships around The Da Vinci Code. Examples in this analysis include The Da Vinci Code → Author → Dan Brown and The Da Vinci Code → Dewey Decimal → 813/.54 21. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| The Da Vinci Code | Author | Dan Brown | 1.00 | infobox |
| The Da Vinci Code | Dewey Decimal | 813/.54 21 | 1.00 | infobox |
| The Da Vinci Code | Followed by | The Lost Symbol | 1.00 | infobox |
| The Da Vinci Code | Genre | Mystery, detective fiction, conspiracy fiction, thriller | 1.00 | infobox |
| The Da Vinci Code | LC Class | PS3552.R685434 D3 2003 | 1.00 | infobox |
| The Da Vinci Code | OCLC | 50920659 | 1.00 | infobox |
| The Da Vinci Code | Pages | 454 (American hardback) | 1.00 | infobox |
| The Da Vinci Code | Pages | 489 (American paperback) | 1.00 | infobox |
| The Da Vinci Code | Preceded by | Angels & Demons | 1.00 | infobox |
| The Da Vinci Code | Publication date | March 18, 2003 | 1.00 | infobox |
| The Da Vinci Code | Publication place | United States | 1.00 | infobox |
| The Da Vinci Code | Publisher | Doubleday (United States) | 1.00 | infobox |
| The Da Vinci Code | Series | Robert Langdon #2 | 1.00 | infobox |
| The Da Vinci Code | is a | 2003 mystery thriller novel by Dan Brown | 0.90 | text |
The concept neighborhoods around The Da Vinci Code bring nearby vocabulary together. In this analysis, examples include Vinci, Code and Da. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For The Da Vinci Code, one of the stronger structural bridges in this analysis connects The Da Vinci Code with Reaction. 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 The Da Vinci Code to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Literary Connections, Plot & Reaction, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — The Da Vinci Code · EN edition · Analysis: TopicsToTalkAbout
