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. 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.
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The course invites you to examine the interconnectedness of modern life through an exploration of fundamental questions about how our social, economic, and technological worlds are connected. Students will explore game theory, the structure of the Internet, social contagion, the spread of social power and popularity, and information cascades. This course is designed at the introductory undergraduate level without formal prerequisites.
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Video Transcripts:. Course Type:. Share this course Share this course on facebook Share this course on twitter Share this course on linkedin Share this course via email. Prerequisites High school algebra, some background in probability.
About this course Skip About this course. What you'll learn Skip What you'll learn. Use the tools of graph theory as a basis for studying the Internet social networks, and the process of Web search. Apply game theory to analyze strategic behavior in a variety of settings including auction design, Web advertising, network routing, and social marketing. Understand strategic behavior in matching markets that link buyers and sellers.
Explore the relationships between markets, information, and consumer expectations. Analyze the processes by which ideas, beliefs, opinions, products, technologies, and social conventions spread through social networks. Meet your instructors Cornell University.
Networks, Crowds and Markets