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Albert-László Barabási könyvei a rukkolán


Jennifer Frangos - Albert-László Barabási - Linked
In ​the 1980's, James Gleick's Chaos introduced the world to complexity. Now, Albert-László Barabási's Linked reveals the next major scientific leap: the study of networks. We've long suspected that we live in a small world, where everything is connected to everything else. Indeed, networks are pervasive--from the human brain to the Internet to the economy to our group of friends. These linkages, it turns out, aren't random. All networks, to the great surprise of scientists, have an underlying order and follow simple laws. Understanding the structure and behavior of these networks will help us do some amazing things, from designing the optimal organization of a firm to stopping a disease outbreak before it spreads catastrophically. In Linked, Barabási, a physicist whose work has revolutionized the study of networks, traces the development of this rapidly unfolding science and introduces us to the scientists carrying out this pioneering work. These "new cartographers" are mapping networks in a wide range of scientific disciplines, proving that social networks, corporations, and cells are more similar than they are different, and providing important new insights into the interconnected world around us. This knowledge, says Barabási, can shed light on the robustness of the Internet, the spread of fads and viruses, even the future of democracy. Engaging and authoritative, Linked provides an exciting preview of the next century in science, guaranteed to be transformed by these amazing discoveries.From Linked:This book has a simple message: think networks. It is about how networks emerge, what they look like, and how they evolve. It aims to develop a web-based view of nature, society, and technology, providing a unified framework to better understand issues ranging from the vulnerability of the Internet to the spread of diseases. Networks are present everywhere. All we need is an eye for them...We will see the challenges doctors face when they attempt to cure a disease by focusing on a single molecule or gene, disregarding the complex interconnected nature of the living matter. We will see that hackers are not alone in attacking networks: we all play Goliath, firing shots at a fragile ecological network that, without further support, could soon replicate our worst nightmares by turning us into an isolated group of species...Linked is meant to be an eye-opening trip that challenges you to walk across disciplines by stepping out of the box of reductionism. It is an invitation to explore link by link the next scientific revolution: the new science of networks.

Albert-László Barabási - Bursts
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.

Mark Newman - Duncan J. Watts - Albert-László Barabási - The ​Structure and Dynamics of Networks
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 book is organized into four sections, each preceded by an editors' introduction summarizing its contents and general theme. The first section sets the stage by discussing some of the historical antecedents of contemporary research in the area. From there the book moves to the empirical side of the science of networks before turning to the foundational modeling ideas that have been the focus of much subsequent activity. The book closes by taking the reader to the cutting edge of network science--the relationship between network structure and system dynamics. From network robustness to the spread of disease, this section offers a potpourri of topics on this rapidly expanding frontier of the new science. „The Structure and Dynamics of Networks performs an important service by bringing together in one volume a number of papers on network theory, and placing them in their historical context. . . . [T]he volume will serve as an introduction to the topic for the novice and a resource for the more experienced researcher.” - Sarah Boslaugh, MAA Reviews „Everyone with a serious interest in the networks studies will want to read the many fine papers this major collection contains. It is to be warmly recommended as a volume deserving to become compulsory reading for all scholars (and students) interested in the field of networks.” - Current Engineering Practice „Each and every one of the featured papers represents a fundamental breakthrough, forming altogether a highly coherent body of knowledge. Professors Newman, Barabási, and Watts succeed in their selection, and at the same time add an extra value to the book with enlightening and interesting discussions. I strongly recommend this book to researchers and students of the field and, in general, to anyone who wants to enter or learn more about this exciting field of research.” - Marián Boguñá, Journal of Statistical Physics „The behavioural scientist interested in the wider picture of how their work fits into the world of networks is recommended this book as a first port of call for classic citations.” - Sean A. Rands, Applied Animal Behavior Science „This excellent collection of papers will provide great one-stop shopping to those working in the evolving world of network research. It may very well become a standard resource for the growing number of courses on networks now beginning to pervade curricula. Indeed, a current difficulty in teaching such a course is that there are no good texts, and a quick look around the Web reveals that almost all these courses are taught using research papers, many of which appear in this collection.” - Dan Rockmore, Dartmouth College

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