Networks, Crowds, and Markets by David Easley, Jon Kleinberg
Networks, Crowds, and Markets - Table of Contents
- 1. Overview
- PART I: GRAPH THEORY AND SOCIAL NETWORKS
- 2. Graphs
- 3. Strong and Weak Ties
- 4. Networks in Surrounding Contexts
- 5. Positive and Negative Relationships
- PART II: GAME THEORY
- 6. Games
- 7. Evolutionary Game Theory
- 8. Modeling Traffic and Congestion on Networks
- 9. Auctions
- PART III: MARKETS AND INTERACTION ON NETWORKS
- 10. Matching Markets
- 11. Network Models of Markets with Intermediaries
- 12. Bargaining and Power in Networks
- PART IV: INFORMATION NETWORKS AND THE WORLD WIDE WEB
- 13. The Structure of the Web
- 14. Link Analysis and Web Search Algorithms
- 15. Sponsored Search Markets
- PART V: NETWORK DYNAMICS: POPULATION MODELS
- 16. Information Cascades
- 17. Network Effects
- 18. Power Laws and Rich-Get-Richer Phenomena
- PART VI: NETWORK DYNAMICS: STRUCTURAL MODELS
- 19. Cascading Behavior in Networks
- 20. The Small-World Phenomenon
- 21. Epidemics
- PART VII: INSTITUTIONS AND AGGREGATE BEHAVIOR
- 22. Markets and Information Aggregation Techniques
- 23. Voting
- 24. Property Rights
What You Will Learn in Networks, Crowds, and Markets
Networks, Crowds, and Markets: Reasoning About a Highly Connected World by David Easley and Jon Kleinberg provides a unified framework for understanding the complex interconnected systems that shape modern technology, economics, and society. Integrating principles from graph theory, game theory, strategic network formation, information networks, and market-clearing mechanisms, the text bridges computational concepts with social behavior.
Designed for undergraduate and graduate students, computer scientists, economists, and data analysts, this book systematically examines how individual decisions aggregate into global patterns. Topics cover structural balance in signed networks, auction design, PageRank algorithms, matching markets, small-world phenomena, and epidemic spreading over networks. Whether studying strategic interaction or web traffic flows, readers gain the mathematical and conceptual tools to model interconnected systems.
Widely adopted across top global universities, it is regarded as one of the best network analysis and game theory textbook pdfs for self-study and academic research. It equips readers to navigate and analyze the structural dynamics of modern digital and social platforms.
Book Details & Specifications
Title:
Networks, Crowds, and Markets by David Easley, Jon Kleinberg
Publisher:
Cambridge University Press
Year:
2010
Pages:
720
Type:
PDF
Language:
English
ISBN-10 #:
0521195330
ISBN-13 #:
978-0521195331
License:
External Educational Resource
Amazon:
Amazon
About the Author: David Easley
The author David Easley
is the Henry Scarborough Professor of Social Science and Professor of Economics and Information Science at Cornell University. His research focuses on microeconomics, decision theory, and financial market architecture.
Jon Kleinberg is the Tisch University Professor of Computer Science and Information Science at Cornell University. Renowned for his work on network algorithms, small-world networks, and web search structure, he is a recipient of the Nevanlinna Prize and a MacArthur Fellowship.
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