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Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science.
"This is not just an important but an imperative project: to approach the problem of randomness and success using the state of the art scientific arsenal we have. Barabasi is the person."-Nassim Nicholas Taleb, author of the New York Times bestselling The Black Swan and Distinguished Professor of Risk Engineering at NYU An international bestseller In the bestselling tradition of Malcom Gladwell, James Gleick, and Nate Silver, prominent professor LAszlO BarabAsi gives us a trailblazing book that promises to transform the very foundations of how our success-obsessed society approaches their professional careers, life pursuits and long-term goals. Too often, accomplishment does not equal succes...
A smart, readable account of the unexpected scientific principles that drive success' – Financial Times The Formula is the groundbreaking book that reveals the indisputable scientific laws that turn achievements into success and shows how you can use them to your own advantage. In The Formula, Albert-László Barabasi, one of the world's leading experts on the science of networks, reveals the unspoken rules behind who gets ahead and why, and outline the five laws that govern this phenomenon and how we can use them to succeed. Drawing on Big Data research that covers everyone from the ace fighter pilot The Red Baron to graffiti artist Jean-Michel Basquiat; Miles Davis and his recording of Kind of Blue to Marcel Duchamp and Tiger Woods, Barabasi shows why success can come at any time, as long as we are persistent, why in successful teams one person gets the lion's share of the credit and why the last interviewee almost always gets the job. Unveiling the scientific principles that drive success, and how to leverage them, Barabasi offers a new understanding of the very foundation of how people excel in today's society, and how to harness these principles for yourself.
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-Lálórabá, 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. Barabá 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-Réi 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 Barabá-Albert model.
This book brings together two of the most exciting and widely studied subjects in modern physics: namely fractals and surfaces. To the community interested in the study of surfaces and interfaces, it brings the concept of fractals. To the community interested in the exciting field of fractals and their application, it demonstrates how these concepts may be used in the study of surfaces. The authors cover, in simple terms, the various methods and theories developed over the past ten years to study surface growth. They describe how one can use fractal concepts successfully to describe and predict the morphology resulting from various growth processes. Consequently, this book will appeal to physicists working in condensed matter physics and statistical mechanics, with an interest in fractals and their application. The first chapter of this important new text is available on the Cambridge Worldwide Web server: http://www.cup.cam.ac.uk/onlinepubs/Textbooks/textbookstop.html
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.
This is the first comprehensive overview of the exciting field of the 'science of science'. With anecdotes and detailed, easy-to-follow explanations of the research, this book is accessible to all scientists, policy makers, and administrators with an interest in the wider scientific enterprise.
From the Internet to networks of friendship, disease transmission, and even terrorism, the concept--and the reality--of networks has come to pervade modern society. But what exactly is a network? What different types of networks are there? Why are they interesting, and what can they tell us? In recent years, scientists from a range of fields--including mathematics, physics, computer science, sociology, and biology--have been pursuing these questions and building a new "science of networks." This book brings together for the first time a set of seminal articles representing research from across these disciplines. It is an ideal sourcebook for the key research in this fast-growing field. The b...
Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. Network Medicine introduces this rapidly evolving field of medical research, which promises to revolutionize the diagnosis and treatment of human diseases. With contributions from leading experts that highlight the necessity of a team-based approach in network medicine, this definitive volume provides readers with a state-of-the-art synthesis of the progress being made and the challenges that remain. Medical researchers have long sought to identify single molecular defects that cause diseases, with the goal of developing silver-bullet therapies to trea...
A practical introduction to network science for students across business, cognitive science, neuroscience, sociology, biology, engineering and other disciplines.