Linked: The New Science of NetworksPerseus Pub., 2003 - 280 pagina's 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. |
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Inhoudsopgave
INTRODUCTION | 1 |
SIX DEGREES OF SEPARATION | 25 |
SMALL WORLDS | 41 |
Copyright | |
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Overige edities - Alles bekijken
Linked: The New Science Of Networks Science Of Networks Albert-laszlo Barabasi,Jennifer Frangos Gedeeltelijke weergave - 2014 |
Linked: The New Science Of Networks Science Of Networks Albert-laszlo Barabasi,Jennifer Frangos Geen voorbeeld beschikbaar - 2002 |
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actors Albert-László Barabási attack biology Bose-Einstein condensation cascading failures cell clustering coefficient collaboration companies complex networks connected nodes decades degree distribution discovery documents drug e-mail economic emergence epidemic Erdős and Rényi Erdős number Euler follows a power friends genes genome graph theory Hawoong Jeong hierarchy highly connected Hollywood hubs human interactions Internet Karinthy large number MafiaBoy mathematical mathematicians Milgram million modularity modules molecules Nature nodes number of links number of nodes offered Oltvai organization paper path Paul Erdős percent phase transition Physical Review physicists power laws predict preferential attachment problem protein Random Graphs random network randomly real networks Réka Albert robot robustness role routers scale-free model scale-free networks scale-free topology scientists search engines six degrees Small World social links social network society spread Strogatz structure tion turn understand University virus viruses Watts Webpage Website World Wide World Wide Web Zoltán