Formula predicts if a book should be bestseller

Source : Times of India

A US study used data from the New York Times Bestseller Lists (2008 to 2016) to create a formula for predicting how well a book would sell and whether it would be a bestseller. The team found that fiction, especially thrillers, released around the festive season was more likely to have high sales.

Books that are fiction, thrillers or mysteries, have high initial sales numbers and are more likely to be bestsellers if released around Christmas, according to a study.

Researchers from Northeastern University in the US used a big data approach to investigate what makes a book successful. By evaluating data from the New York Times Bestseller Lists from 2008 to 2016, they developed a formula to predict if a book would be a bestseller.

They found that general fiction and biographies were more likely to make the bestseller list more often than other genres. Those with a higher initial place on the list were more likely to stay on it for a longer amount of time, researchers said.

“The most surprising result was that we found a universal pattern to book sales: all hardcover bestsellers, regardless of genre, follow a sales trajectory governed by the same factors,” said Albert-Laszlo Barabasi, a professor at Northeastern University.

“This allowed us to create a statistical model to predict sales of a book based on its early sales numbers,” said Barabasi, lead author of the study published in the journal EPJ Data Science.

The researchers found that although fiction books sold more copies than non-fiction books, non-fiction titles were more likely to retain their bestseller status once achieved. An example of this was Unbroken by Laura Hillenbrand, a non-fiction title that stayed on the bestseller list for 203 weeks, longer than any other book in the study, researchers said.

The fiction title that stayed on the list the longest was The Help, which stayed for 131 weeks; this may have been due to a popular film adaption, they said. The researchers also found that fiction writers had more repeat success with getting on the list than non-fiction writers.

Books in the romance category were more likely to be written by female authors and male authors were more likely to be authors of non-fiction books.

The researchers found no gender disparity among bestselling fiction authors, but most non-fiction bestsellers were written by men. They evaluated sales numbers and patterns from 2,468 fiction titles and 2,025 non-fiction titles from the New York Times Bestseller Lists 2008-2016 to create their formula for predicting how well a book would sell and whether it would be a bestseller.

Formula predicts if a book should be bestseller

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