Social Network Analysis: Statistical Models - JHU
Master advanced network analysis techniques using R for analyzing social structures and relationships.
Course Cost
Free course
Intermediate
Skill Level
11 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Social Computing Specialization or Social Media Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Calculate and interpret key centrality measures
Apply statistical models to analyze network relationships
Understand foundational social theories
Construct and analyze various network types
Implement ERGM and SAOM models
Conduct hypothesis testing with empirical data
Skills you'll gain
This course includes:
3.5 Hours PreRecorded video
9 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate

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There are 4 modules in this course
This comprehensive course explores advanced social network analysis, combining theoretical foundations with practical applications. Students learn to analyze complex social structures using statistical methods and R programming, focusing on centrality measures, graph theory, and social forces. The curriculum covers exponential random graph models (ERGM) and stochastic actor-oriented models (SAOM) using tools like 'statnet' and 'RSiena', preparing students for advanced network analytics.
Course Introduction
Module 1 · 14 Minutes to complete
Graph Theory and Centrality Measures
Module 2 · 4 Hours to complete
Centralization and Social Theory
Module 3 · 4 Hours to complete
Network Statistical Models
Module 4 · 3 Hours to complete
Fee Structure
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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.
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.



