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9780691005416

Small Worlds

by
  • ISBN13:

    9780691005416

  • ISBN10:

    0691005419

  • Format: Hardcover
  • Copyright: 1999-09-01
  • Publisher: Princeton Univ Pr
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Summary

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.

Author Biography

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.

Table of Contents

PREFACE xiii
1 Kevin Bacon, the Small World, and Why It All Matters
3(6)
PART I STRUCTURE 9(154)
2 An Overview of the Small-World Phenomenon
11(30)
2.1 Social Networks and the Small World
11(14)
2.1.1 A Brief History of the Small World
12(8)
2.1.2 Difficulties with the Real World
20(4)
2.1.3 Reframing the Question to Consider All Worlds
24(1)
2.2 Background on the Theory of Graphs
25(16)
2.2.1 Basic Definitions
25(2)
2.2.2 Length and Length Scaling
27(4)
2.2.3 Neighbourhoods and Distribution Sequences
31(1)
2.2.4 Clustering
32(1)
2.2.5 "Lattice Graphs" and Random Graphs
33(6)
2.2.6 Dimension and Embedding of Graphs
39(2)
3 Big Worlds and Small Worlds: Models of Graphs
41(60)
3.1 Relational Graphs
42(49)
3.1.1 Alpha-Graphs
42(24)
3.1.2 A Stripped-Down Model: Beta-Graphs
66(4)
3.1.3 Shortcuts and Contractions: Model Invariance
70(17)
3.1.4 Lies, Damned Lies, and (More) Statistics
87(4)
3.2 Spatial Graphs
91(9)
3.2.1 Uniform Spatial Graphs
93(5)
3.2.2 Gaussian Spatial Graphs
98(2)
3.3 Main Points in Review
100(1)
4 Explanations and Ruminations
101(37)
4.1 Going to Extremes
101(13)
4.1.1 The Connected-Caveman World
102(7)
4.1.2 Moore Graphs as Approximate Random Graphs
109(5)
4.2 Transitions in Relational Graphs
114(13)
4.2.1 Local and Global Length Scales
114(2)
4.2.2 Length and Length Scaling
116(1)
4.2.3 Clustering Coefficient
117(1)
4.2.4 Contractions
118(2)
4.2.5 Results and Comparisons with Beta-Model
120(7)
4.3 Transitions in Spatial Graphs
127(6)
4.3.1 Spatial Length versus Graph Length
127(1)
4.3.2 Length and Length Scaling
128(2)
4.3.3 Clustering
130(2)
4.3.4 Results and Comparisons
132(1)
4.4 Variations on Spatial and Relational Graphs
133(3)
4.5 Main Points in Review
136(2)
5 "It's a Small World after All": Three Real Graphs
138(25)
5.1 Making Bacon
140(7)
5.1.1 Examining the Graph
141(2)
5.1.2 Comparisons
143(4)
5.2 The Power of Networks
147(6)
5.2.1 Examining the System
147(3)
5.2.2 Comparisons
150(3)
5.3 A Worm's Eye View
153(6)
5.3.1 Examining the System
154(2)
5.3.2 Comparisons
156(3)
5.4 Other Systems
159(2)
5.5 Main Points in Review
161(2)
PART II DYNAMICS 163(80)
6 The Spread of Infectious Disease in Structured Populations
165(16)
6.1 A Brief Review of Disease Spreading
166(2)
6.2 Analysis and Results
168(12)
6.2.1 Introduction of the Problem
168(1)
6.2.2 Permanent-Removal Dynamics
169(7)
6.2.3 Temporary-Removal Dynamics
176(4)
6.3 Main Points in Review
180(1)
7 Global Computation in Cellular Automata
181(18)
7.1 Background
181(6)
7.1.1 Global Computation
184(3)
7.2 Cellular Automata on Graphs
187(11)
7.2.1 Density Classification
187(8)
7.2.2 Synchronisation
195(3)
7.3 Main Points in Review
198(1)
8 Cooperation in a Small World: Games on Graphs
199(24)
8.1 Background
199(9)
8.1.1 The Prisoner's Dilemma
200(4)
8.1.2 Spatial Prisoner's Dilemma
204(2)
8.1.3 N-Player Prisoner's Dilemma
206(1)
8.1.4 Evolution of Strategies
207(1)
8.2 Emergence of Cooperation in a Homogeneous Population
208(11)
8.2.1 Generalised Tit-for-Tat
209(5)
8.2.2 Win-Stay, Lose-Shift
214(5)
8.3 Evolution of Cooperation in a Heterogeneous Population
219(2)
8.4 Main Points in Review
221(2)
9 Global Synchrony in Populations of Coupled Phase Oscillators
223(17)
9.1 Background
223(5)
9.2 Kuramoto Oscillators on Graphs
228(10)
9.3 Main Points in Review
238(2)
10 Conclusions
240(3)
NOTES 243(6)
BIBLIOGRAPHY 249(8)
INDEX 257

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