The increasing complexity of networks today, require the development of a systematic framework for their study. The classic graph theoretic approach provides only structural information for the underlying network. What are the "laws" that dictate the evolution of the latter? How do the individual decisions of every network entity affect this evolution?
Professors D. Easley and J. Kleinberg, provide a thorough investigation of the above fundamental questions in their very recent book entitled: "Networks, Crowds, and Markets: Reasoning About a Highly Connected World". They borrow ideas from a set of disciplines that span a huge spectrum of knowledge, ranging from applied math to sociology. Going forward needed is a holistic view of complex networks and a new paradigm of thinking in network analysis, and this book definitely works towards this direction.