课程信息
4.8
366 个评分
80 个审阅
100% 在线

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

可灵活调整截止日期

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高级

高级

完成时间(小时)

完成时间大约为25 小时

建议:5 hours/week...
可选语言

英语(English)

字幕:英语(English)

您将获得的技能

Social NetworkGame TheoryNetwork AnalysisNetwork Theory
100% 在线

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

可灵活调整截止日期

根据您的日程表重置截止日期。
高级

高级

完成时间(小时)

完成时间大约为25 小时

建议:5 hours/week...
可选语言

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 3 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...
Reading
12 个视频 (总计 118 分钟), 3 个阅读材料, 3 个测验
Video12 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
Reading3 个阅读材料
Syllabus10分钟
Slides from Lecture 1, with References10分钟
OPTIONAL - Advanced Problem Set 110分钟
Quiz3 个练习
Quiz Week 128分钟
Problem Set 112分钟
Optional: Empirical Analysis of Network Data using Gephi or Pajek8分钟
2
完成时间(小时)
完成时间为 3 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...
Reading
11 个视频 (总计 105 分钟), 3 个阅读材料, 3 个测验
Video11 个视频
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
Reading3 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
Quiz3 个练习
Quiz Week 216分钟
Problem Set 210分钟
Optional: Empirical Analysis of Network Data6分钟
3
完成时间(小时)
完成时间为 4 小时

Random Networks

Poisson Random Networks, Exponential Random Graph Models, Growing Random Networks, Preferential Attachment and Power Laws, Hybrid models of Network Formation....
Reading
12 个视频 (总计 143 分钟), 3 个阅读材料, 4 个测验
Video12 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
Reading3 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
Quiz4 个练习
Quiz Week 326分钟
Problem Set 36分钟
Optional: Empirical Analysis of Network Data4分钟
Optional: Using Statnet in R to Estimate an ERGM6分钟
4
完成时间(小时)
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....
Reading
15 个视频 (总计 209 分钟), 3 个阅读材料, 2 个测验
Video15 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
Reading3 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
Quiz2 个练习
Quiz Week 436分钟
Problem Set 414分钟
4.8
80 个审阅Chevron Right

热门审阅

创建者 SWAug 9th 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.

创建者 MGApr 17th 2018

Great survey course for social network analysis. Dr. Jackson's lectures motivated me to buy the book, and I hope to come back to this course later to work more on the optional parts.

讲师

Avatar

Matthew O. Jackson

Professor
Economics

关于 Stanford University

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....

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