Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Social and Economic Networks: Models and Analysis certification course will guide the candidates on the formation of networks. The learner will study exhibiting patterns of networks and their structure impacting their diffusion, learning, and other behaviors. The course will analyze the patterns on the basis of maths, social science, physics, economics, statistics, and computer science. The Social and Economic Networks: Models and Analysis course is an initiative by Stanford University for learners who are keen to understand the depth of networks.
Social and Economic Networks: Models and Analysis training is available on the online learning platform of Coursera, where learners are exposed to multiple reading materials, videos, and quizzes for comprehensive knowledge. This is an online course of 8 weeks duration, the classes of which can be completed in 29 hours. The candidates who have enrolled in the course through the certification mode will receive Social and Economic Networks: Models and Analysis certification by Stanford University and Coursera by the end of the course.
Also Read: Social Networks
The Highlights
- 8 weeks duration
- Online course
- 29 hours of classes
- Shareable certification
- Self-paced learning
- Quizzes
- Graded assignments
- Financial Aid
Programme Offerings
- 8 Weeks Duration
- trained by experts
- Online Course
- Shareable Certification
- Flexible Deadlines
- Feedback
- quizzes
- assessments
- financial aid
- 29 hours of classes.
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 4957 | yes | Coursera |
Candidates who are choosing the certification mode for this course should pay the Social and Economic Networks: Models and Analysis certification fee. The fee can be paid through credit card, debit card, and internet banking. Pay the certification fee on the Coursera portal. For the detailed fee structure refer to the table below.
Social and Economic Networks: Models and Analysis fee structure
Description | Fee in INR |
Social and Economic Networks: Models and Analysis | Rs. 4,957 |
Eligibility Criteria
Certification Qualifying Details
Social and Economic Networks: Models and Analysis certification and other benefits will be awarded to those learners who have opted for the certification mode for this course. A shareable certification will be provided by Stanford University and Coursera. Candidates should complete the curriculum, and associated quizzes to receive a certificate. It will enhance the CV of candidates and will act as an added skill for the learners.
What you will learn
Social and Economic Networks: Models and Analysis certification syllabus is comprehensive and aims for the overall development of the learners. The curriculum will start with an overview of concepts used to measure and describe networks. It shall further lead by guiding learners on the empirical background of the social and economic networks. Learners will learn about the formation of networks, including hybrid strategical networks. On reaching the conclusion of the course the candidate will understand the way networks impact behavior, including contagion, diffusion, learning, and peer influences. The candidate will develop a comprehensive understanding of the following concepts by the end of this course.
- Social Network
- Game Theory
- Network Analysis
- Network Theory
Who it is for
The Social and Economic Networks: Models and Analysis certification benefits the freshers who are willing to enter the domain of studying and analyzing social and economic networks. The course could help managers, and project managers by enhancing their knowledge and skills.
Admission Details
To enroll yourself in the Social and Economic Networks: Models and Analysis online course. Follow the steps mentioned below.
Step 1: Visit the portal of Coursera for the Social and Economic Networks: Models and Analysis course. The direct link for the course is https://www.coursera.org/learn/social-economic-networks
Step 2: The screen with the detailed introduction of the course shall be displayed on the portal of Coursera.
Step 3: Click on the “Enrol for free” tab and sign up for the course.
Step 4: Complete the enrollment process by paying the Social and Economic Networks: Models and Analysis certification fee if the candidate is opting for the certification course.
Step 5: Start learning by attending Social and Economic Networks: Models and Analysis classes.
The Syllabus
Videos
- Introduction to Course
- Introduction
- Examples and Challenges
- Background Definitions and Notation (Basic - Skip if familiar 8:23)
- Definitions and Notation
- Diameter
- Diameter and Trees
- Diameters of Random Graphs (Optional/Advanced 11:12)
- Diameters in the World
- Degree Distributions
- Clustering
- Week 1 Wrap
Readings
- Syllabus
- Slides from Lecture 1, with References
- OPTIONAL - Advanced Problem Set 1
Practice Exercises
- Quiz Week 1
- Problem Set 1
- Optional: Empirical Analysis of Network Data using Gephi or Pajek
Videos
- Homophily
- Dynamics and Tie Strength
- Centrality Measures
- Centrality – Eigenvector Measures
- Application - Centrality Measures
- Application – Diffusion Centrality
- Random Networks
- Random Networks - Thresholds and Phase Transitions
- A Threshold Theorem (optional/advanced 13:00)
- A Small World Model
- Week 2 Wrap
Readings
- Slides from Lecture 2, with references
- OPTIONAL - Advanced Problem Set 2
- OPTIONAL - Solutions to Advanced PS 1
Practice Exercises
- Quiz Week 2
- Problem Set 2
- Optional: Empirical Analysis of Network Data
Videos
- Growing Random Networks
- Mean Field Approximations
- Preferential Attachment
- Hybrid Models
- Fitting Hybrid Models
- Block Models
- ERGMs
- Estimating ERGMs
- SERGMs
- SUGMs
- Estimating SUGMs (Optional/Advanced 21:03)
- Week 3 Wrap
Readings
- Slides from Lecture 3, with references
- OPTIONAL - Advanced Problem Set 3
- OPTIONAL - Solutions to Advanced PS 2
Practice Exercises
- Quiz Week 3
- Problem Set 3
- Optional: Empirical Analysis of Network Data30m
- Optional: Using Statnet in R to Estimate an ERGM
Videos
- Strategic Network Formation
- Pairwise Stability and Efficiency
- Connections Model
- Efficiency in the Connections Model (Optional/Advanced 12:41)
- Pairwise Stability in the Connections Model
- Externalities and the Coauthor Model
- Network Formation and Transfers
- Heterogeneity in Strategic Models
- SUGMs and Strategic Network Formation (Optional/Advanced 13:47)
- Pairwise Nash Stability (Optional/Advanced 11:34)
- Dynamic Strategic Network Formation (Optional/Advanced 11:57)
- Evolution and Stochastics (Optinoal/Advanced 16:05)
- Directed Network Formation (Optional/Advanced 16:38)
- Application Structural Model (Optional/Advanced 35:06)
- Week 4 Wrap
Readings
- Slides from Lecture 4, with references
- OPTIONAL - Advanced Problem Set 4
- OPTIONAL - Solutions to Advanced PS 3
Practice Exercises
- Quiz Week 4
- Problem Set 4
Videos
- Diffusion
- Bass Model
- Diffusion on Random Networks
- Giant Component Poisson Case
- SIS Model
- Solving the SIS Model
- Solving the SIS Model - Ordering (Optional/Advanced 24:16)
- Fitting a Diffusion Model to Data (Optional/Advanced 22:47)
- Application: Financial Contagions (Optional/Advanced 12:47)
- Application: Financial Contagions - Simulations (Optional/Advanced 13:41)
- Diffusion Summary
- Week 5 Wrap
Readings
- OPTIONAL - Advanced Problem Set 5
- OPTIONAL - Solutions to Advanced PS 4
- Slides from Lecture 5, with references
Practice Exercises
- Quiz Week 5
- Problem Set 5
- Optional: Empirical Analysis of Network Data
Videos
- Learning
- DeGroot Model
- Convergence in DeGroot Model
- Proof of Convergence Theorem (Optional/Advanced 10:25)
- Influence
- Examples of Influence
- Information Aggregation
- Learning Summary
- Week 6 Wrap
Readings
- Slides from Lecture 6, with references
- OPTIONAL - Advanced Problem Set 6
- OPTIONAL - Solutions to Advanced PS 5
Practice Exercises
- Quiz Week 6
- Problem Set 6
Videos
- Games on Networks
- Complements and Substitutes
- Properties of Equilibria
- Multiple Equilibria
- An Application
- Beyond 0-1 Choices
- A Linear Quadratic Model
- RepeatedGames and Networks
- Week 7 Wrap
- Course Wrap
Readings
- Slides from Lecture 7, with references
- OPTIONAL - Advanced Problem Set 7
- OPTIONAL - Solutions to Advanced PS 6
- OPTIONAL - Solutions to Advanced PS 7
Practice Exercises
- Quiz Week 7
- Problem Set 7
Practice Exercise
- Final
Instructors
Stanford Frequently Asked Questions (FAQ's)
The course will be completed in 8 weeks and the classes for the same will be covered in the time frame of 29 hours.
The online course is on the learning platform Coursera.
The course and the certification are provided by Stanford University.
This course is in the English language and it has subtitles in Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, and Spanish.
Students opting for the certification mode will get graded assignments.