000			01937nam a22002771i 4500
005			20201018104544.0
008			200623t20162016nyu e 000 0 eng d
020			_a9781250088277 _cRM 33.17 _qhardback
040			_aPPAK _beng _cPPAK _erda
082	0	0	_223 _a028.9
090	0	0	_a028.9 _bARC _dG
100	1		_aArcher, Jodie _eauthor.
245	1	4	_aTHE BESTSELLER CODE: _bANATOMY OF THE BLOCKBUSTER NOVEL / _cJodie Archer & Matthew L.Jockers
264		1	_aNew York: _bSt. Martin's Press , _c2016
264		4	_c©2016
300			_a242 pages : _billustrations ; _c22 cm.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
520			_aWhat 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 analyses 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.
650	1	0	_aReading interests _zUnited State
650	2	0	_aBest sellers.
650	2	0	_aPopular literature _zUnited States.
700	1		_a Jockers, Matthew L. _d1966- _eauthor.
942			_2ddc _cB
999			_c177784 _d177784