Superficial overview. ( )

For me the book went too far in story telling details: I was bored by the small details of who did what in the morning of a day before doing something that the writer would like to mention. And generally, the whole book could have been shorter.

It was interesting to read about he topology of networks for a while, but when he started talking about the revolution these things will make to science (actually, he mentiones areas specifically), well, then I felt that this reminds me a hype. Of course, I cannot judge it, but he didn't convince me.

E.g. he starts talking about September the 11th, terrorists networks, coming to the conclusion - without using practically any knowledge of networks - that the only way of stopping terrorists is to cease the causes, so that noone wants to join a terrorists network. Yes, that would really be a revolution. ( )

interesting book on how different networks perform in similar ways. Author discusses biological networks, computer networks, people networks, discusses how different networks have different characteristics as, there are three main architectures of networ

Pretty good.

I love reading about accessible abstract ways of interpreting all sorts of phenomena. ( )

Linked: The New Science of Networks (Hardcover)
by Albert-Laszlo Barabasi

"Brief History of The Future"
Preferential Attachment
Cascading Failure
Parasitic Computing
Directed Network
The Internet Archive
Diffusion of AIDS Epidemic
Perculation Theory
Scale Free Network
Social Link
P53 Molecule
The Königsberg Bridge problem

Topics
Alfréd Rényi (March 20, 1921 – February 1, 1970) was a Hungarian mathematician who made contributions in combinatorics and graph theory but mostly in probability theory.
Leonhard Paul Euler(1707– 1783) was a pioneering Swiss mathematician and physicist, who spent most of his life in Russia and Germany.
Doctors selection of a new drug.
In social links, some individuals are super-connected; they are super-hubs. For a new idea/product to spread, the social super-hubs must be targeted.
Failure of Apple Newton caused by rejection of opinion leaders, early adopters.
AIDS epidemic spread via a super-hub French Canadian.
Personalize medicine in the future only attack the abnormality with no side effect.
We need to look at a cell as a scale free network.
P53 Molecule suppresses cancer cell spread.
The network of corporate board of directors in US companies.
Major pharmaceutical companies are linked to small research companies in a web of partneships. The hubs are the big pharmas.
Global finance is a scale free network of financial institutions; the economic melt down in Asia started with a small bank in Thailand. Understanding networks will help prevent cascading failures. ( )