The author tells series of stories to uncover the mystery and the history of complex network analysis.
... though the introduction does not replace the math. Barabasi&friends proposed the scale-free model for building networks, so he knows what he is talking about.
It is a great book about the network applying on different fields of science.
The main line of the whole book is how author's research team discovered different versions of network model: from Random -> Clustering -> Scalefree model -> Modular Scalefree model
It also mentioned a lot of networks in like cellular biology, economic, politics and (my favorite) terrorist group.
Though the book was written in late 90s and could not cover some latest result in network/complexity research, the book is still a worth-reading introduction to this new frontier of science!
By the way, it seems in the footnote under Page 235, the number 2/14 should actually be 2/11, following formular
N(k)/[k!/(k-2)!2!] = 12/(12!/10!2!) = 12/(12x11/2) = 2/11