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The best-selling guide to network science, the revolutionary field that reveals the deep links between all forms of human social life

A cocktail party. A terrorist cell. Ancient bacteria. An international conglomerate. All are networks, and all are a part of a surprising scientific revolution. In Linked, Albert-LÃ¡lÃ³rabÃ¡, the nation’s foremost expert in the new science of networks, takes us on an intellectual adventure to prove that social networks, corporations, and living organisms are more similar than previously thought. BarabÃ¡ shows that grasping a full understanding of network science will someday allow us to design blue-chip businesses, stop the outbreak of deadly diseases, and influence the exchange of ideas and information. Just as James Gleick and the Erdos-RÃ©i model brought the discovery of chaos theory to the general public, Linked tells the story of the true science of the future and of experiments in statistical mechanics on the internet, all vital parts of what would eventually be called the BarabÃ¡-Albert model.

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On Sale: Jun 24, 2014
Page Count: 304 pages
Publisher: Basic Books
ISBN-13: 9780465038619

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Albert-laszlo Barabasi

About the Author

Albert-László Barabási is the Robert Gray Dodge Professor of Network Science and a Distinguished University Professor at Northeastern University, where he directs the Center for Complex Network Research and holds appointments in the Department of Medicine at Harvard Medical School and the Central European University in Budapest.

A native of Transylvania, Romania, he received his Masters in Theoretical Physics at the Eötvös University in Budapest, Hungary and Ph.D. at Boston University. His previous work includes Bursts: The Hidden Pattern Behind Everything We Do (Dutton, 2010), which is available in five languages, and Linked: The New Science of Networks (Perseus, 2002), which is available in fifteen languages.

Barbási is the author of Network Science (Cambridge, 2016) and the co-editor of The Structure and Dynamics of Networks (Princeton, 2005). His work has led to many breakthroughs, including the discovery of scale-free networks in 1999, which continues to make him one of the most cited scientists today.

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