Research Catalog

The bestseller code : anatomy of the blockbuster novel

Title
The bestseller code : anatomy of the blockbuster novel / Jodie Archer & Matthew L. Jockers.
Author
Archer, Jodie.
Publication
New York : St. Martin's Press, 2016.

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StatusFormatAccessCall NumberItem Location
TextUse in library JFD 16-5617Schwarzman Building - Main Reading Room 315

Details

Additional Authors
Jockers, Matthew Lee, 1966-
Description
242 pages : illustrations; 22 cm
Summary
"What if there was an algorithm that could predict which novels become mega-bestsellers? Are books like Dan Brown's The Da Vinci Code and Gillian Flynn's Gone Girl the Gladwellian outliers of publishing? The Bestseller Code boldly claims that the New York Times bestsellers in fiction are predictable and that it's possible to know with 97% certainty if a manuscript is likely to hit number one on the list as opposed to numbers two through fifteen. The algorithm does exist; the code has been cracked; the results are in; and they are stunning. The system analyzes themes, plot, character, pacing, even the frequency of words and punctuation, to predict which stories will resonate with readers. A 28-year-old heroine is a big plus. So is realism. Giving 30% of your novel to only two specific topics. And if you can include a dog rather than a cat and few sex scenes, you have a better chance of writing a bestselling novel. The project is an investigation into our intellectual and emotional responses as humans and readers to books of all genres. It is a big idea book that will appeal to fans of The Black Swan by Nassim Taleb, a book for data-mining nerds, as well as a book about writing, reading, and publishing. Anyone who has ever wondered why Gone Girl, Girl on the Train or The Girl With the Dragon Tattoo captured so many readers worldwide will find their interest piqued"--
Subjects
Call Number
JFD 16-5617
ISBN
  • 9781250088277
  • 1250088275
LCCN
2016014363
OCLC
2016014363
Author
Archer, Jodie.
Title
The bestseller code : anatomy of the blockbuster novel / Jodie Archer & Matthew L. Jockers.
Publisher
New York : St. Martin's Press, 2016.
Edition
First edition.
Type of Content
text
Type of Medium
unmediated
Type of Carrier
volume
Added Author
Jockers, Matthew Lee, 1966- author.
Research Call Number
JFD 16-5617
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