Об этом курсе
4.8
334 ratings
71 reviews
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. The course begins with some empirical background on social and economic networks, and an overview of concepts used to describe and measure networks. Next, we will cover a set of models of how networks form, including random network models as well as strategic formation models, and some hybrids. We will then discuss a series of models of how networks impact behavior, including contagion, diffusion, learning, and peer influences. You can find a more detailed syllabus here: http://web.stanford.edu/~jacksonm/Networks-Online-Syllabus.pdf You can find a short introductory videao here: http://web.stanford.edu/~jacksonm/Intro_Networks.mp4...
Globe

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Advanced Level

Продвинутый уровень

Clock

Предполагаемая нагрузка: 5 hours/week

Прибл. 25 ч. на завершение
Comment Dots

English

Субтитры: English

Приобретаемые навыки

Social NetworkGame TheoryNetwork AnalysisNetwork Theory
Globe

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Advanced Level

Продвинутый уровень

Clock

Предполагаемая нагрузка: 5 hours/week

Прибл. 25 ч. на завершение
Comment Dots

English

Субтитры: English

Программа курса: что вы изучите

1

Раздел
Clock
3 ч. на завершение

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 видео (всего 118 мин.), 3 материалов для самостоятельного изучения, 3 тестов
Video12 видео
1.1: Introduction9мин
1.2: Examples and Challenges 15мин
1.2.5 Background Definitions and Notation (Basic - Skip if familiar 8:23)8мин
1.3: Definitions and Notation 14мин
1.4: Diameter 16мин
1.5: Diameter and Trees 6мин
1.6: Diameters of Random Graphs (Optional/Advanced 11:12)11мин
1.7: Diameters in the World 6мин
1.8: Degree Distributions 13мин
1.9: Clustering 8мин
1.10: Week 1 Wrap2мин
Reading3 материала для самостоятельного изучения
Syllabus10мин
Slides from Lecture 1, with References10мин
OPTIONAL - Advanced Problem Set 110мин
Quiz3 практического упражнения
Quiz Week 128мин
Problem Set 112мин
Optional: Empirical Analysis of Network Data using Gephi or Pajek8мин

2

Раздел
Clock
3 ч. на завершение

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 видео (всего 105 мин.), 3 материалов для самостоятельного изучения, 3 тестов
Video11 видео
2.2: Dynamics and Tie Strength 6мин
2.3: Centrality Measures 14мин
2.4: Centrality – Eigenvector Measures 13мин
2.5a: Application - Centrality Measures 12мин
2.5b: Application – Diffusion Centrality 6мин
2.6: Random Networks 10мин
2.7: Random Networks - Thresholds and Phase Transitions 7мин
2.8: A Threshold Theorem (optional/advanced 13:00)13мин
2.9: A Small World Model 7мин
2.10 Week 2 Wrap3мин
Reading3 материала для самостоятельного изучения
Slides from Lecture 2, with references10мин
OPTIONAL - Advanced Problem Set 210мин
OPTIONAL - Solutions to Advanced PS 110мин
Quiz3 практического упражнения
Quiz Week 216мин
Problem Set 210мин
Optional: Empirical Analysis of Network Data6мин

3

Раздел
Clock
4 ч. на завершение

Random Networks

Poisson Random Networks, Exponential Random Graph Models, Growing Random Networks, Preferential Attachment and Power Laws, Hybrid models of Network Formation....
Reading
12 видео (всего 143 мин.), 3 материалов для самостоятельного изучения, 4 тестов
Video12 видео
3.2: Mean Field Approximations 8мин
3.3: Preferential Attachment 10мин
3.4: Hybrid Models 14мин
3.5: Fitting Hybrid Models 17мин
3.6: Block Models 9мин
3.7: ERGMs 9мин
3.8: Estimating ERGMs 15мин
3.9: SERGMs 9мин
3.10: SUGMs 6мин
3.11: Estimating SUGMs (Optional/Advanced 21:03)21мин
3.12: Week 3 Wrap3мин
Reading3 материала для самостоятельного изучения
Slides from Lecture 3, with references10мин
OPTIONAL - Advanced Problem Set 310мин
OPTIONAL - Solutions to Advanced PS 210мин
Quiz4 практического упражнения
Quiz Week 326мин
Problem Set 36мин
Optional: Empirical Analysis of Network Data4мин
Optional: Using Statnet in R to Estimate an ERGM6мин

4

Раздел
Clock
5 ч. на завершение

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 видео (всего 209 мин.), 3 материалов для самостоятельного изучения, 2 тестов
Video15 видео
4.2: Pairwise Stability and Efficiency 15мин
4.3: Connections Model 11мин
4.4: Efficiency in the Connections Model (Optional/Advanced 12:41)12мин
4.5: Pairwise Stability in the Connections Model 6мин
4.6: Externalities and the Coauthor Model 11мин
4.7: Network Formation and Transfers 16мин
4.8: Heterogeneity in Strategic Models 13мин
4.9: SUGMs and Strategic Network Formation (Optional/Advanced 13:47)13мин
4.10: Pairwise Nash Stability (Optional/Advanced 11:34)11мин
4.11: Dynamic Strategic Network Formation (Optional/Advanced 11:57)11мин
4.12: Evolution and Stochastics (Optinoal/Advanced 16:05)16мин
4.13: Directed Network Formation (Optional/Advanced 16:38)16мин
4.14: Application Structural Model (Optional/Advanced 35:06)35мин
4.15: Week 4 Wrap4мин
Reading3 материала для самостоятельного изучения
Slides from Lecture 4, with references10мин
OPTIONAL - Advanced Problem Set 410мин
OPTIONAL - Solutions to Advanced PS 310мин
Quiz2 практического упражнения
Quiz Week 436мин
Problem Set 414мин
4.8

Лучшие рецензии

автор: 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.

автор: 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.

Преподаватель

Matthew O. Jackson

Professor
Economics

О 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....

Часто задаваемые вопросы

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

Остались вопросы? Посетите Центр поддержки учащихся.