Networks, Crowds, and Markets: Reasoning about a Highly Connected WorldCambridge 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. |
Contenido
1 | |
21 | |
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 |
Otras ediciones - Ver todas
Networks, Crowds, and Markets: Reasoning about a Highly Connected World David Easley,Jon Kleinberg Sin vista previa disponible - 2010 |
Networks, Crowds, and Markets: Reasoning about a Highly Connected World David Easley,Jon Kleinberg Sin vista previa disponible - 2010 |
Networks, Crowds, and Markets: Reasoning about a Highly Connected World David Easley,Jon Kleinberg Sin vista previa disponible - 2010 |
Términos y frases comunes
advertisers alternatives analysis augmenting path basic behavior best response bettor bidder bipartite graph Borda Count breadth-first search buyers cars cascade Chapter choice choose clickthrough rate connected consider coordination game decision directed graph discussion disease dynamics evolutionarily stable example expected payoff fact Firm follows fraction friends function group ranking homophily idea individual rankings information cascades initial adopters interaction labeled market-clearing prices matching market Matching Pennies mixed strategy Nash equilibrium neighbors network effects network structure nodes option outcome PageRank path payoff matrix perfect matching play player population possible potential energy prediction preferred-seller graph probability produce random reasoning result revenue search engine second-price auction Section seller signal simple slot social network socially optimal step strictly dominant strategy supernodes suppose trader triadic closure triangles two-player Update Rule users valuations voters voting system wins