（以中文授課）
Networks are ubiquitous in our modern society. A social network is a social structure made up of a set of social actors and other social interactions between actors. Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from sociology, political science, economics, psychology, computer science, applied mathematics, and statistics.

This course will provide the methods for the study of social and economic networks. We will explore both theoretical models and their applications to social, political and economic behavior. The course begins with an overview of basic backgrounds. We will then cover network properties, homophily, peer effects, social capital and trust, games on networks, information aggregation in networks, social learning, trade in networks, markets, voting, and other topics. One goal of the course is to identify potential research questions for students.

Students will work on their own final project. The final project involves preparing a detailed research report and an in-class presentation concerning either the analysis of a social or economic network or a theoretical contribution. Students will be working as a group of three. You can either work on the analysis of new social network datasets or extend existing papers idea. The presentation and report should focus on basic motivation, analysis, extensions, and future potential extension. Students need to schedule at least one meeting with the lecturer before their final presentation. The project will be due at the end of finals week and should be no longer than 10 pages.

Week 1: Overview of Network Analysis
Week 2: Introduction to Graph Theory; Describing and Measuring Networks
Week 3: Strong and Weak Ties
Week 4: Network Properties; Positive and Negative Relationships
Week 5: Random Networks; Exponential Random Graph Models
Week 6: Network Formation; Growing Random Networks
Week 7: Strategic Network Formation
Week 8: Modeling of Network Formation
Week 9: Review Session / Midterm Exam
Week 10: Decision, Behavior, and Games on Network
Week 11: Evolutionary Game Theory
Week 12: Diffusion on Networks
Week 13: Networks and Markets
Week 14: Markets and Information
Week 15: Voting on Networks
Week 16: Observing and Measuring Social Interaction
Week 17: Final Presentations 1
Week 18: Final Presentations 2