Small Worlds: The Dynamics of Networks between Order and Randomness. Duncan J. Watts. Princeton University Press.




Small Worlds: The Dynamics of Networks between Order and Randomness Book Cover Small Worlds: The Dynamics of Networks between Order and Randomness
Duncan J. Watts
Princeton University Press
August 23, 1999
Hardcover
266
9780691005416

Everyone knows the small-world phenomenon: soon after meeting a stranger, we are surprised to discover that we have a mutual friend, or we are connected through a short chain of acquaintances. In his book, Duncan Watts uses this intriguing phenomenon – colloquially called “six degrees of separation” – as a prelude to a more general exploration: under what conditions can a small world arise in any kind of network?

The networks of this story are everywhere: the brain is a network of neurons; organizations are people networks; the global economy is a network of national economies, which are networks of markets, which are in turn networks of interacting producers and consumers. Food webs, ecosystems, and the Internet can all be represented as networks, as can strategies for solving a problem, topics in a conversation, and even words in a language. Many of these networks, the author claims, will turn out to be small worlds.

How to such networks matter? Simply put, local actions can have global consequences, and the relationship between local and global dynamics depends critically on the network’s structure. Watts illustrates the subtleties of this relationship using a variety of simple models – the spread of infectious disease through a structured population; the evolution of cooperation in game theory; the computational capacity of cellular automata; and the synchronization of coupled phase-oscillators.

Watts’s novel approach is relevant to many problems that deal with network connectivity and complex systems’ behavior in general: How do diseases (or rumors) spread through social networks? How does cooperation evolve in large groups? How do cascading failures propagate through large power grids, or financial systems? What is the most efficient architecture for an organisation, or for a communications network? This fascinating exploration will be fruitful in the remarkable variety of fields, including physics and mathematics, as well as sociology, economics, and biology.

Duncan J. Watts, who received his Ph.D. in theoretical and applied mechanics from Cornell University in 1997, is a postdoctoral Fellow at the Santa Fe Institute.