이 강좌에 대하여: 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
이 수업의 대상: The course is aimed at people interested in researching social and economic networks, but should be accessible to advanced undergraduates and other people who have some prerequisites in mathematics and statistics. For example, it will be assumed that students are comfortable with basic concepts from linear algebra (e.g., matrix multiplication), probability theory (e.g., probability distributions, expected values, Bayes' rule), and statistics (e.g., hypothesis testing). Beyond those concepts, the course is self-contained.
강사: Matthew O. Jackson, Professor
Economics
| 레벨 | 고등 |
| 언어 | English |
| 통과 방법 | 강좌를 수료하려면 모든 평가 과제를 통과하십시오. |
| 사용자 등급 |
- Reading: Syllabus
- 비디오: 1.1: Introduction
- 비디오: 1.2: Examples and Challenges
- 비디오: 1.2.5 Background Definitions and Notation (Basic - Skip if familiar 8:23)
- 비디오: 1.3: Definitions and Notation
- 비디오: 1.4: Diameter
- 비디오: 1.5: Diameter and Trees
- 비디오: 1.6: Diameters of Random Graphs (Optional/Advanced 11:12)
- 비디오: 1.7: Diameters in the World
- 비디오: 1.8: Degree Distributions
- 비디오: 1.9: Clustering
- 비디오: 1.10: Week 1 Wrap
- Practice Quiz: Quiz Week 1
- Practice Quiz: Optional: Empirical Analysis of Network Data using Gephi or Pajek
- Reading: Slides from Lecture 1, with References
- Reading: OPTIONAL - Advanced Problem Set 1
- 비디오: 2.2: Dynamics and Tie Strength
- 비디오: 2.3: Centrality Measures
- 비디오: 2.4: Centrality – Eigenvector Measures
- 비디오: 2.5a: Application - Centrality Measures
- 비디오: 2.5b: Application – Diffusion Centrality
- 비디오: 2.6: Random Networks
- 비디오: 2.7: Random Networks - Thresholds and Phase Transitions
- 비디오: 2.8: A Threshold Theorem (optional/advanced 13:00)
- 비디오: 2.9: A Small World Model
- 비디오: 2.10 Week 2 Wrap
- Practice Quiz: Quiz Week 2
- Practice Quiz: Optional: Empirical Analysis of Network Data
- Reading: Slides from Lecture 2, with references
- Reading: OPTIONAL - Advanced Problem Set 2
- Reading: OPTIONAL - Solutions to Advanced PS 1
- 비디오: 3.2: Mean Field Approximations
- 비디오: 3.3: Preferential Attachment
- 비디오: 3.4: Hybrid Models
- 비디오: 3.5: Fitting Hybrid Models
- 비디오: 3.6: Block Models
- 비디오: 3.7: ERGMs
- 비디오: 3.8: Estimating ERGMs
- 비디오: 3.9: SERGMs
- 비디오: 3.10: SUGMs
- 비디오: 3.11: Estimating SUGMs (Optional/Advanced 21:03)
- 비디오: 3.12: Week 3 Wrap
- Practice Quiz: Quiz Week 3
- Practice Quiz: Optional: Empirical Analysis of Network Data
- Practice Quiz: Optional: Using Statnet in R to Estimate an ERGM
- Reading: Slides from Lecture 3, with references
- Reading: OPTIONAL - Advanced Problem Set 3
- Reading: OPTIONAL - Solutions to Advanced PS 2
- 비디오: 4.2: Pairwise Stability and Efficiency
- 비디오: 4.3: Connections Model
- 비디오: 4.4: Efficiency in the Connections Model (Optional/Advanced 12:41)
- 비디오: 4.5: Pairwise Stability in the Connections Model
- 비디오: 4.6: Externalities and the Coauthor Model
- 비디오: 4.7: Network Formation and Transfers
- 비디오: 4.8: Heterogeneity in Strategic Models
- 비디오: 4.9: SUGMs and Strategic Network Formation (Optional/Advanced 13:47)
- 비디오: 4.10: Pairwise Nash Stability (Optional/Advanced 11:34)
- 비디오: 4.11: Dynamic Strategic Network Formation (Optional/Advanced 11:57)
- 비디오: 4.12: Evolution and Stochastics (Optinoal/Advanced 16:05)
- 비디오: 4.13: Directed Network Formation (Optional/Advanced 16:38)
- 비디오: 4.14: Application Structural Model (Optional/Advanced 35:06)
- 비디오: 4.15: Week 4 Wrap
- Practice Quiz: Quiz Week 4
- Reading: Slides from Lecture 4, with references
- Reading: OPTIONAL - Advanced Problem Set 4
- Reading: OPTIONAL - Solutions to Advanced PS 3
- 비디오: 5.2: Bass Model
- 비디오: 5.3: Diffusion on Random Networks
- 비디오: 5.4: Giant Component Poisson Case
- 비디오: 5.5: SIS Model
- 비디오: 5.6: Solving the SIS Model
- 비디오: 5.7: Solving the SIS Model - Ordering (Optional/Advanced 24:16)
- 비디오: 5.8a: Fitting a Diffusion Model to Data (Optional/Advanced 22:47)
- 비디오: 5.8b: Application: Financial Contagions (Optional/Advanced 12:47)
- 비디오: 5.8c: Application: Financial Contagions - Simulations (Optional/Advanced 13:41)
- 비디오: 5.9: Diffusion Summary
- 비디오: 5.10: Week 5 Wrap
- Practice Quiz: Quiz Week 5
- Practice Quiz: Optional: Empirical Analysis of Network Data
- Reading: OPTIONAL - Advanced Problem Set 5
- Reading: OPTIONAL - Solutions to Advanced PS 4
- Reading: Slides from Lecture 5, with references
- 비디오: 6.2: DeGroot Model
- 비디오: 6.3: Convergence in DeGroot Model
- 비디오: 6.4: Proof of Convergence Theorem (Optional/Advanced 10:25)
- 비디오: 6.5: Influence
- 비디오: 6.6: Examples of Influence
- 비디오: 6.7: Information Aggregation
- 비디오: 6.8: Learning Summary
- 비디오: 6.9: Week 6 Wrap
- Practice Quiz: Quiz Week 6
- Reading: Slides from Lecture 6, with references
- Reading: OPTIONAL - Advanced Problem Set 6
- Reading: OPTIONAL - Solutions to Advanced PS 5
- 비디오: 7.2: Complements and Substitutes
- 비디오: 7.3: Properties of Equilibria
- 비디오: 7.4: Multiple Equilibria
- 비디오: 7.5: An Application
- 비디오: 7.6: Beyond 0-1 Choices
- 비디오: 7.7: A Linear Quadratic Model
- 비디오: 7.8: RepeatedGames and Networks
- 비디오: 7.9: Week 7 Wrap
- 비디오: 7.9b: Course Wrap
- Practice Quiz: Quiz Week 7
- Reading: Slides from Lecture 7, with references
- Reading: OPTIONAL - Advanced Problem Set 7
- Reading: OPTIONAL - Solutions to Advanced PS 6
- Reading: OPTIONAL - Solutions to Advanced PS 7
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The topic is quite interesting and Professor explains the concepts and theories in a quite understandable way. It is easy to follow the contents and offers me with a basic idea of the modeling of network effect. A very help course and highly recommend!
The chemistry disciplinary knowledge cautions the utilization of the idea of diffusion because diffusion in chemistry is more of systematic random process then the idea of diffusion in this lecture. If you could enhance and clarify the Week 4 lecture of the Praeto Efficiency, Utility, and Pairwise in additional examples the brevity of the lecture could build the idea into a few slides to sharpen the idea earlier. Think about adding more examples of the Centrality examples, I thought the Centrality was interesting.
Greatly insightful and resourceful content for future research. As a recent university graduate interested in graduate school I found the course challenging meaning determination and consistency contributed to the successful completion of the course. Rewatching lectures and seeking external support helped me comprehend concepts through application.
pn
needs more practical exercises