Social & Economic Networks: Advanced Modeling & Analysis
Explore the fundamentals of network theory, diverse formation models, and their profound influence on human interactions and behavioral patterns in society.
Explore the fundamentals of network theory, diverse formation models, and their profound influence on human interactions and behavioral patterns in society.
This advanced course explores the intricate world of social and economic networks, examining their formation, patterns, and influence on human behavior. You'll learn to model and analyze networks using techniques from economics, sociology, mathematics, physics, statistics, and computer science. The curriculum covers empirical background on networks, network formation models, diffusion processes, learning on networks, and games played on networks. Through rigorous mathematical modeling and data analysis, you'll gain insights into how networks form, why they exhibit certain patterns, and how their structure impacts various social and economic phenomena. This course is ideal for those seeking a deep, quantitative understanding of network dynamics in social and economic contexts.
4.8
(734 ratings)
71,478 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
Powered by
What you'll learn
Understand and apply key concepts in social and economic network theory
Model network formation using random, strategic, and hybrid approaches
Analyze network structures using advanced mathematical and statistical techniques
Examine diffusion processes and contagion models on networks
Explore learning dynamics and information aggregation in networked environments
Investigate strategic behavior and game theory in network contexts
Skills you'll gain
This course includes:
16 Hours PreRecorded video
20 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 8 modules in this course
This course offers an in-depth exploration of social and economic networks, combining theoretical models with practical analysis techniques. Students will examine network formation processes, structural properties, and their impact on various social and economic phenomena. The curriculum covers a wide range of topics, including random network models, strategic network formation, diffusion processes, learning on networks, and games played on networks. Through a combination of lectures, problem sets, and data analysis exercises, learners will develop advanced skills in modeling and analyzing complex network structures. The course emphasizes the interdisciplinary nature of network science, drawing from economics, sociology, mathematics, physics, and computer science. By the end of the course, students will be equipped to apply sophisticated network analysis techniques to real-world social and economic problems.
Introduction, Empirical Background and Definitions
Module 1 · 3 Hours to complete
Background, Definitions, and Measures Continued
Module 2 · 3 Hours to complete
Random Networks
Module 3 · 4 Hours to complete
Strategic Network Formation
Module 4 · 4 Hours to complete
Diffusion on Networks
Module 5 · 4 Hours to complete
Learning on Networks
Module 6 · 3 Hours to complete
Games on Networks
Module 7 · 4 Hours to complete
Final Exam
Module 8 · 30 Minutes to complete
Fee Structure
Payment options
Financial Aid
Instructor
Leading Scholar in Economics and Network Theory
Matthew O. Jackson is the William D. Eberle Professor of Economics at Stanford University, renowned for his contributions to game theory, microeconomic theory, and the analysis of social and economic networks. He is also an external faculty member of the Santa Fe Institute and a senior fellow at CIFAR (the Canadian Institute for Advanced Research). Jackson has authored numerous influential articles and the acclaimed book Social and Economic Networks, which explores the intricate relationships that shape economic interactions. His esteemed career is marked by significant accolades, including membership in the National Academy of Sciences, fellowship in the Econometric Society and the American Academy of Arts and Sciences, as well as prestigious awards such as the Social Choice and Welfare Prize and the John von Neumann Award. Additionally, he has held editorial roles for prominent journals including Games and Economic Behavior, Review of Economic Design, and Econometrica, further underscoring his impact on the field of economics. Through his research and teaching, Jackson continues to advance our understanding of complex economic systems and their underlying social structures.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.8 course rating
734 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.