"When a story captures the imagination of millions, that's magic. Can you qualify magic? Archer and Jockers just may have done so."—Sylvia Day, New York Times bestselling author Ask most people about massive success in the world of fiction, and you’ll typically hear that it’s a game of hazy crystal balls. The sales figures of E. L. James or Dan Brown seem to be freakish—random occurrences in an unknowable market. But what if there were an algorithm that could reveal a secret DNA of bestsellers, regardless of their genre? What if it knew, just from analyzing the words alone, not just why genre writers like John Grisham and Danielle Steel belong on the lists, but also that authors such as Junot Diaz, Jodi Picoult, and Donna Tartt had telltale signs of success all over their pages? Thanks to Jodie Archer and Matthew Jockers, the algorithm exists, the code has been cracked, and the results bring fresh new insights into how fiction works and why we read. The Bestseller Code offers a new theory for why Fifty Shades of Grey sold so well. It sheds light on the current craze for dark heroines. It reveals which themes tend to sell best. And all with fascinating supporting data taken from a five-year study of twenty thousand novels. Then there is the hunt for "the one"—the paradigmatic example of bestselling writing according to a computer's analysis of thousands of points of data. The result is surprising, a bit ironic, and delightfully unorthodox. This book explains groundbreaking text-mining research in accessible terms and offers a new perspective on the New York Times bestseller list. It's a big-idea book about the relationship between creativity and technology that will be provocative to anyone interested in how analytics have already transformed the worlds of finance, medicine, and sports. But at heart it is a celebration of books for readers and writers—a compelling investigation into how successful writing works, and a fresh take on our intellectual and emotional response to stories.

What if an algorithm could predict which manuscripts would become mega-bestsellers? Girl on the Train. Fifty Shades. The Goldfinch. Why do some books capture the whole world's attention? What secret DNA do they share? In The Bestseller Code, Archer and Jockers boldly claim that blockbuster hits are highly predictable, and they have created the algorithm to prove it. Using cutting-edge text mining techniques, they have developed a model that analyses theme, plot, style and character to explain why some books resonate more than others with readers. Provocative, entertaining, and ground-breaking, The Bestseller Code explores the hidden patterns at work in the biggest hits and, more importantly, the real reasons we love to read.

For each of the 150,000 books published in 2002, there are dozens that are still hoping to see the light of day. Bowkers estimates less than 1% to successfully climbing the bestseller list. What separates the winners in the battle for bestseller status? Capitalizing on insight gained from interviews with industry experts and authors such as Steve Riggio, Jack Canfield, Spencer Johnson, and more this book takes a comprehensive look at the publishing process from start to finish and, ultimately, what separates a bestselling book from all the other books published each year. Authors and would-be authors all have a curiosity about "how the other guy does it"- and this book takes it one step farther by describing what goes into making a bestseller. This book is for authors and would-be-authors and individuals in the publishing industry.

New York literary agent Curtis tells writers what they must know to get published and to not get taken advantage of by agents, publishers or the IRS. He discusses literary agencies, agent clout, movies into books, multibook deals, advances, book clubs, taxes, publication dates, and the matter of fees, royalties and expenses. No bibliography or index. Annotation copyrighted by Book News, Inc., Portland, OR

This volume contains descriptions of 1,245 books in nine fiction genres, including author or editor's name, publication information, story type, major characters, setting, plot summary, and more.

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