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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.
Course Cost
₹ 2,699
Advanced
Skill Level
26 Hours
Self-paced lessons
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.
71,478 Enrolled
English
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
Apply network analysis tools to real-world social and economic data
Develop critical thinking skills for interpreting network-based phenomena in society and economy
Skills you'll gain
This course includes:
16 Hours PreRecorded video
20 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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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
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.9
106
Reviews
6,06,581
Students
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Frequently asked Questions
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