Networks, Crowds, and Markets: Reasoning about a Highly Connected World

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Cambridge University Press, 2010 M07 19
Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others.

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Contenido

Overview
1
Graphs
21
Strong and Weak Ties
43
Networks in Their Surrounding Contexts
77
Positive and Negative Relationships
107
Games
139
Evolutionary Game Theory
189
Modeling Network Traffic Using Game Theory
207
Sponsored Search Markets
385
Information Cascades
425
Network Effects
449
Power Laws and RichGetRicher Phenomena
479
Cascading Behavior in Networks
497
The SmallWorld Phenomenon
537
Epidemics
567
Markets and Information
607

Auctions
225
Matching Markets
249
Network Models of Markets with Intermediaries
277
Bargaining and Power in Networks
301
The Structure of the Web
333
Link Analysis and Web Search
351
Voting
645
Property Rights
681
Bibliography
693
Index
711
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David Easley is the Henry Scarborough Professor of Social Science and a Professor of Economics at Cornell University. He was previously an Overseas Fellow of Churchill College, Cambridge. His research is in the fields of economics, finance, and decision theory. In economics, he focuses on learning, wealth dynamics, and natural selection in markets. In finance, his work focuses on market microstructure and asset pricing. In decision theory, he works on modeling decision making in complex environments. He is a Fellow of the Econometric Society and a member of the NASDAQ-OMX Economic Advisory Board.

Jon Kleinberg is the Tisch University Professor in the Computer Science Department at Cornell University. He is a member of the National Academy of Engineering and the American Academy of Arts and Sciences. His research focuses on issues at the interface of networks and information, with an emphasis on the social and information networks that underpin the Web and other online media. He is the recipient of MacArthur, Packard, and Sloan Foundation Fellowships; the Nevanlinna Prize; the ACM-Infosys Foundation Award; and the National Academy of Sciences Award for Initiatives in Research.

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