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Linked: How Everything Is Connected to Everything Else and What It Means

de Albert-László Barabási

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1,778247,417 (3.86)17
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.… (mais)
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Inglês (22)  Alemão (1)  Catalão (1)  Todos os idiomas (24)
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The subtitle is a pretty good summary of the premise of this book. It explores the theoretical underpinnings of things being linked (referencing, for example, the Königsberg Bridge problem) and then explores how things are linked in nature as opposed to in social structures; the major distinction is that in nature, the number of “links” held by a given thing tends to be bell-curve distributed, whereas in socially-designed phenomena, it’s more of a y = 1/x sort of “the limit does not exist” on the tail end, allowing for “hubs.” This applies not only to social structure, but genetics, airline routes, the internet, and the Kevin Bacon game.

The finding is that if you have a dense network, picking a network node at random and eliminating it will not bring down the network… even if you do so for something like 80% of the network. But removing just 15-20% of the network hubs will cause the whole thing to come crashing down. ( )
  jarlalex | Nov 25, 2020 |
I read this book several years ago, when I was closing up my University studies. It opened my mind to new research opportunities that I have then undertaken for my ph.d.
The book gives a very nice introduction to the world of complex network, covering the random models and moving on to what the authors have discovered and named scale-free organization.
The mathematics are far from being heavy and down-to-the-ground examples are always reported to help the reader connecting to her daily life.
A very nice book! ( )
  ferrarini_luca | Dec 6, 2016 |
4 ( )
  ronchan | Nov 14, 2016 |
Més enllà de les omnipresents xarxes socials, la teoria de xarxes ens parla de com s'organitzen les xarxes i com totes (les elèctriques, les de relacions, etc) tenen patrons semblants. El llibre té aspectes realmente apassionants i de gran importància en el nostre dia a dia.

Aquesta lectura introdueix els no iniciats a la teoria de xarxes, no tant des d'un punt de vista purament matemàtic (que també), com sobretot conceptual. Deixarà satisfets tant els interessants en el punt de vista més analític com els que vulguin un anàlisi més antropològic. Potser ho fa perquè no entre molt en detall en cap de les dues vessants, però com a lectura indtroductòria és més que recomanable. ( )
  arnautc | Sep 13, 2012 |
This is one of the most pleasant scientific reads in form of a book I have the pleasure to read had. The introduction to networks is very clever, not starting directly with science but rather introudcing all the basic and necessary conceptd, scientists and problems present in network theory. Hving presentef this the authors describes network research from a chronological poont of view, where it is very easy to understand all the new discovered concepts and the necessity of them. I have rarely had access to such pleasant literature. The book finishes describing thet last advances in network theory and paves the ground for the next conceptual step, which is networks dynamics.

My only concern is whether his papers are so well written and whether other books like this can be easily found in research areas that interest me like quantum interactions, doking, and so on.

It would have been really difficult to read from scratch a paper from this Albertq, without all this interesting introductions.

Now i am going to check the current status of his research and start to think how my research could benefit from his insights. ( )
  horacioemilio | Jan 17, 2012 |
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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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531 — Natural sciences and mathematics Physics Mechanics

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