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
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高级
完成时间大约为30 小时
英语（English）
字幕：法语（French）, 巴西葡萄牙语, 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：法语（French）, 巴西葡萄牙语, 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
12 个视频
1.1: Introduction9分钟
1.2: Examples and Challenges 15分钟
1.2.5 Background Definitions and Notation (Basic - Skip if familiar 8:23)8分钟
1.3: Definitions and Notation 14分钟
1.4: Diameter 16分钟
1.5: Diameter and Trees 6分钟
1.6: Diameters of Random Graphs (Optional/Advanced 11:12)11分钟
1.7: Diameters in the World 6分钟
1.8: Degree Distributions 13分钟
1.9: Clustering 8分钟
1.10: Week 1 Wrap2分钟
3 个阅读材料
Syllabus10分钟
Slides from Lecture 1, with References10分钟
OPTIONAL - Advanced Problem Set 110分钟
3 个练习
Quiz Week 130分钟
Problem Set 130分钟
Optional: Empirical Analysis of Network Data using Gephi or Pajek30分钟
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
11 个视频
2.1: Homophily10分钟
2.2: Dynamics and Tie Strength 6分钟
2.3: Centrality Measures 14分钟
2.4: Centrality – Eigenvector Measures 13分钟
2.5a: Application - Centrality Measures 12分钟
2.5b: Application – Diffusion Centrality 6分钟
2.6: Random Networks 10分钟
2.7: Random Networks - Thresholds and Phase Transitions 7分钟
2.8: A Threshold Theorem (optional/advanced 13:00)13分钟
2.9: A Small World Model 7分钟
2.10 Week 2 Wrap3分钟
3 个阅读材料
Slides from Lecture 2, with references10分钟
OPTIONAL - Advanced Problem Set 210分钟
OPTIONAL - Solutions to Advanced PS 110分钟
3 个练习
Quiz Week 230分钟
Problem Set 230分钟
Optional: Empirical Analysis of Network Data30分钟
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
12 个视频
3.2: Mean Field Approximations 8分钟
3.3: Preferential Attachment 10分钟
3.4: Hybrid Models 14分钟
3.5: Fitting Hybrid Models 17分钟
3.6: Block Models 9分钟
3.7: ERGMs 9分钟
3.8: Estimating ERGMs 15分钟
3.9: SERGMs 9分钟
3.10: SUGMs 6分钟
3.11: Estimating SUGMs (Optional/Advanced 21:03)21分钟
3.12: Week 3 Wrap3分钟
3 个阅读材料
Slides from Lecture 3, with references10分钟
OPTIONAL - Advanced Problem Set 310分钟
OPTIONAL - Solutions to Advanced PS 210分钟
4 个练习
Quiz Week 330分钟
Problem Set 330分钟
Optional: Empirical Analysis of Network Data30分钟
Optional: Using Statnet in R to Estimate an ERGM30分钟
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
15 个视频
4.2: Pairwise Stability and Efficiency 15分钟
4.3: Connections Model 11分钟
4.4: Efficiency in the Connections Model (Optional/Advanced 12:41)12分钟
4.5: Pairwise Stability in the Connections Model 6分钟
4.6: Externalities and the Coauthor Model 11分钟
4.7: Network Formation and Transfers 16分钟
4.8: Heterogeneity in Strategic Models 13分钟
4.9: SUGMs and Strategic Network Formation (Optional/Advanced 13:47)13分钟
4.10: Pairwise Nash Stability (Optional/Advanced 11:34)11分钟
4.11: Dynamic Strategic Network Formation (Optional/Advanced 11:57)11分钟
4.12: Evolution and Stochastics (Optinoal/Advanced 16:05)16分钟
4.13: Directed Network Formation (Optional/Advanced 16:38)16分钟
4.14: Application Structural Model (Optional/Advanced 35:06)35分钟
4.15: Week 4 Wrap4分钟
3 个阅读材料
Slides from Lecture 4, with references10分钟
OPTIONAL - Advanced Problem Set 410分钟
OPTIONAL - Solutions to Advanced PS 310分钟
2 个练习
Quiz Week 430分钟
Problem Set 430分钟
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.
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