This is the first comprehensive overview of the 'science of science,' an emerging interdisciplinary field that relies on big data to unveil the reproducible patterns that govern individual scientific careers and the workings of science. It explores the roots of scientific impact, the role of productivity and creativity, when and what kind of collaborations are effective, the impact of failure and success in a scientific career, and what metrics can tell us about the fundamental workings of science. The book relies on data to draw actionable insights, which can be applied by individuals to further their career or decision makers to enhance the role of science in society. With anecdotes and detailed, easy-to-follow explanations of the research, this book is accessible to all scientists and graduate students, policymakers, and administrators with an interest in the wider scientific enterprise.

This is the first comprehensive overview of the 'science of science,' an emerging interdisciplinary field that relies on big data to unveil the reproducible patterns that govern individual scientific careers and the workings of science. It explores the roots of scientific impact, the role of productivity and creativity, when and what kind of collaborations are effective, the impact of failure and success in a scientific career, and what metrics can tell us about the fundamental workings of science. The book relies on data to draw actionable insights, which can be applied by individuals to further their career or decision makers to enhance the role of science in society. With anecdotes and detailed, easy-to-follow explanations of the research, this book is accessible to all scientists and graduate students, policymakers, and administrators with an interest in the wider scientific enterprise.

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-Laszlo Barabasi, 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. Barabasi 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-Renyi 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 Barabasi-Albert model.

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 treat them. But this paradigm overlooks the inherent complexity of human diseases and has often led to treatments that are inadequate or fraught with adverse side effects. Rather than trying to force disease pathogenesis into a reductionist model, network medicine embraces the complexity of multiple influences on disease and relies on many different types of networks: from the cellular-molecular level of protein-protein interactions to correlational studies of gene expression in biological samples. The authors offer a systematic approach to understanding complex diseases while explaining network medicine's unique features, including the application of modern genomics technologies, biostatistics and bioinformatics, and dynamic systems analysis of complex molecular networks in an integrative context. By developing techniques and technologies that comprehensively assess genetic variation, cellular metabolism, and protein function, network medicine is opening up new vistas for uncovering causes and identifying cures of disease.

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 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-Laszlo Barabasi-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.

Networks are everywhere, from the internet, to social networks, and the genetic networks that determine our biological existence. Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of topics from physics to computer science, engineering, economics and the social sciences, introduces network science to an interdisciplinary audience. From the origins of the six degrees of separation to explaining why networks are robust to random failures, the author explores how viruses like Ebola and H1N1 spread, and why it is that our friends have more friends than we do. Using numerous real-world examples, this innovatively designed text includes clear delineation between undergraduate and graduate level material. The mathematical formulas and derivations are included within Advanced Topics sections, enabling use at a range of levels. Extensive online resources, including films and software for network analysis, make this a multifaceted companion for anyone with an interest in network science.