Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? We will bring together models and techniques from economics, sociology, math, physics, statistics and computer science to answer these questions.
社会和经济网络：模型和分析
斯坦福大学课程信息
40,617 次近期查看
学生职业成果
20%
完成这些课程后已开始新的职业生涯
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
高级
完成时间大约为30 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
您将获得的技能
Social NetworkGame TheoryNetwork AnalysisNetwork Theory
学生职业成果
20%
完成这些课程后已开始新的职业生涯
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
高级
完成时间大约为30 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
提供方
斯坦福大学
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
教学大纲 - 您将从这门课程中学到什么
完成时间为 4 小时
Introduction, Empirical Background and Definitions
Examples of Social Networks and their Impact, Definitions, Measures and Properties: Degrees, Diameters, Small Worlds, Weak and Strong Ties, Degree Distributions
完成时间为 4 小时
12 个视频 （总计 118 分钟）, 3 个阅读材料, 3 个测验
完成时间为 4 小时
Background, Definitions, and Measures Continued
Homophily, Dynamics, Centrality Measures: Degree, Betweenness, Closeness, Eigenvector, and Katz-Bonacich. Erdos and Renyi Random Networks: Thresholds and Phase Transitions
完成时间为 4 小时
11 个视频 （总计 105 分钟）, 3 个阅读材料, 3 个测验
完成时间为 5 小时
Random Networks
Poisson Random Networks, Exponential Random Graph Models, Growing Random Networks, Preferential Attachment and Power Laws, Hybrid models of Network Formation.
完成时间为 5 小时
12 个视频 （总计 143 分钟）, 3 个阅读材料, 4 个测验
完成时间为 5 小时
Strategic Network Formation
Game Theoretic Modeling of Network Formation, The Connections Model, The Conflict between Incentives and Efficiency, Dynamics, Directed Networks, Hybrid Models of Choice and Chance.
完成时间为 5 小时
15 个视频 （总计 209 分钟）, 3 个阅读材料, 2 个测验
审阅
来自社会和经济网络：模型和分析的热门评论
由 MR 提供Nov 1, 2017
Really enjoyed this course. The professor is really good and covers quite a lot of ground during the lectures. Good way to get into complex networks! Probably gonna do some studying on my own now :)
由 SB 提供Oct 10, 2020
Very important course. My suggestion to the Prof. if he can increase the course length and include more details that would be much better or he can come up with advance course on the same series.
由 SW 提供Aug 8, 2016
Very good course on Social Networks, and also a hard one even for graduate level. Generally assignments are not too tough but fully understanding all the concepts take lots of extra readings.
由 JK 提供Dec 9, 2018
Excellent course. The labs are the best. Pajek and Gephi will be handy for network graphing and analyzing data. Thank you Professor Matthew Jackson. Your work is very good for reference.
常见问题
我什么时候能够访问课程视频和作业？
我购买证书后会得到什么？
Is financial aid available?
完成课程后，我会获得大学学分吗？
还有其他问题吗？请访问 学生帮助中心。
