Bursts - Barabasi, Albert-Laszlo
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The bestselling author of Linked returns with a ground breaking new theory that will enthrall fans of The Tipping Point
Can we scientifically predict our future? It's a mystery that has nagged scientists for perhaps thousand of years. Now Albert-László Barabási-the award-winning author of the sleeper hit Linked - explains how the digital age has yielded a massive, previously unavailable data set that proves the daily pattern of human activity isn't random, it's "bursty." We work and fight and play in short flourishes of activity followed by next to nothing.
Compellingly illustrated with…mehr

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Produktbeschreibung
The bestselling author of Linked returns with a ground breaking new theory that will enthrall fans of The Tipping Point

Can we scientifically predict our future? It's a mystery that has nagged scientists for perhaps thousand of years. Now Albert-László Barabási-the award-winning author of the sleeper hit Linked- explains how the digital age has yielded a massive, previously unavailable data set that proves the daily pattern of human activity isn't random, it's "bursty." We work and fight and play in short flourishes of activity followed by next to nothing.

Compellingly illustrated with the account of a bloody medieval crusade in sixteenth-century Transylvania and the modern tale of a contemporary artist hunted by the FBI, Bursts reveals that we are far more predictable than we like to think.
Autorenporträt
Albert-László Barabási is a pioneer of real-world network theory and author of the bestseller, Linked: How Everything is Connected to Everything Else and What It Means for Business, Science, and Everyday Life. At 32, he was the youngest professor to be named the Emil T. Hofmann Professor of Physics at the University of Notre Dame and has won numerous awards for his work, including the FEBS Anniversary Prize for Systems Biology and the John von Neumann Medal for outstanding achievements. He currently lives in Boston and is Distinguished Professor and Director of the Center for Network Science at Northeastern University.