The bestseller code: anatomy of the blockbuster novel
(Book)
"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"--
Notes
Archer, J., & Jockers, M. L. (2016). The bestseller code: anatomy of the blockbuster novel. First edition. New York, St. Martin's Press.
Chicago / Turabian - Author Date Citation (style guide)Archer, Jodie and Matthew Lee Jockers. 2016. The Bestseller Code: Anatomy of the Blockbuster Novel. New York, St. Martin's Press.
Chicago / Turabian - Humanities Citation (style guide)Archer, Jodie and Matthew Lee Jockers, The Bestseller Code: Anatomy of the Blockbuster Novel. New York, St. Martin's Press, 2016.
MLA Citation (style guide)Archer, Jodie. and Matthew Lee Jockers. The Bestseller Code: Anatomy of the Blockbuster Novel. First edition. New York, St. Martin's Press, 2016.
Record Information
Last Sierra Extract Time | Apr 15, 2024 05:10:58 PM |
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Last File Modification Time | Apr 15, 2024 05:11:32 PM |
Last Grouped Work Modification Time | Apr 20, 2024 02:11:00 AM |
MARC Record
LEADER | 03116pam 2200457 i 4500 | ||
---|---|---|---|
001 | 2016014363 | ||
003 | DLC | ||
005 | 20180430101400.0 | ||
008 | 160621s2016 nyua 000 0 eng | ||
010 | |a 2016014363 | ||
020 | |a 9781250088277 | ||
040 | |a DLC|b eng|e rda|c DLC|d GCmBT | ||
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050 | 0 | 0 | |a Z1033.B3|b A73 2016 |
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099 | |a 028.9 A671 2016 | ||
100 | 1 | |a Archer, Jodie. | |
245 | 1 | 4 | |a The bestseller code :|b anatomy of the blockbuster novel /|c Jodie Archer & Matthew L. Jockers. |
250 | |a First edition. | ||
264 | 1 | |a New York :|b St. Martin's Press,|c 2016. | |
300 | |a 242 pages :|b illustrations ;|c 22 cm | ||
336 | |a text|b txt|2 rdacontent | ||
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520 | |a "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"--|c Provided by publisher. | ||
650 | 0 | |a Best sellers|z United States. | |
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