Small Worlds

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A01=Duncan J. Watts
Accuracy and precision
Adjacency list
Adjacency matrix
Algorithm
Almost surely
Approximation
Attractor
Author_Duncan J. Watts
Automaton
Big O notation
Binomial distribution
Calculation
Category=PBV
Category=PBW
Cellular automaton
Closed-form expression
Cluster analysis
Cluster graph
Complete graph
Complexity
Computation
Computational problem
Computer terminal
Conjecture
Connectedness
Connectivity (graph theory)
Diagram (category theory)
Diameter
Dimension
Dynamical system
Emergence
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Equation
Euclidean space
Expected value
Explanation
Fermat's Last Theorem
Free parameter
High- and low-level
Initial condition
Logical connective
Mathematical optimization
Metric space
Moore graph
Non-Euclidean geometry
Normal distribution
Order of magnitude
Order of operations
Parameter
Path length
Percolation threshold
Phase transition
Prisoner's dilemma
Probability
Probability distribution
Quantity
Random graph
Result
Sampling (statistics)
Schematic
Scientific notation
Search tree
Small-world network
Sparse network
Special case
Statistic
Statistical population
Stochastic
Theory
Triangle inequality
Turing machine
Two-dimensional space
Uniform distribution (discrete)
Upper and lower bounds

Product details

  • ISBN 9780691117041
  • Weight: 397g
  • Dimensions: 152 x 235mm
  • Publication Date: 14 Dec 2003
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Paperback
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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; organisations 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 do 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 sychronisation of coupled phase-oscillators. Watts's novel approach is relevant to many problems that deal with network connectivity and complex systems' behaviour in general: How do diseases (or rumours) 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 a remarkable variety of fields, including physics and mathematics, as well as sociology, economics, and biology.
Duncan J. Watts, is Associate Professor of Sociology at Columbia University and an external faculty member of the Santa Fe Institute. He holds a Ph.D. in theoretical and applied mechanics from Cornell University and is the author of "Six Degrees: The Science of A Connected Age". He lives in New York City.