Network Visualization and Intervention
Master network visualization and intervention techniques: Learn relational algebra, data visualization, and strategic network influence.
Master network visualization and intervention techniques: Learn relational algebra, data visualization, and strategic network influence.
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 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.
Instructors:
English
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What you'll learn
Master relational algebra operations for complex dataset analysis
Develop impactful network visualizations using design principles
Learn strategies for effective network interventions
Understand network dynamics and influence patterns
Implement segmentation techniques for social network analysis
Skills you'll gain
This course includes:
2.77 Hours PreRecorded video
9 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course covers the intersection of data manipulation, visualization, and network interventions. Students learn Relational Algebra for managing complex datasets, master Network Visualization techniques to create impactful visual representations, and understand Network Interventions for influencing behaviors within social networks. The curriculum combines theoretical knowledge with practical applications, teaching strategies to identify opinion leaders and implement effective segmentation techniques.
Course Introduction
Module 1 · 14 Minutes to complete
Relational Algebra
Module 2 · 5 Hours to complete
Network Visualization
Module 3 · 3 Hours to complete
Network Interventions
Module 4 · 3 Hours to complete
Fee Structure
Instructor
Pioneering Social Network Analysis and AI at Johns Hopkins University
Dr. Ian McCulloh is an esteemed associate professor at Johns Hopkins University, holding joint appointments in the Bloomberg School of Public Health and the Whiting School of Engineering. His research focuses on social neuroscience, social network analysis, and the application of artificial intelligence to enhance understanding of online influence and strategic communication. With over 100 peer-reviewed publications and several influential books, including Social Network Analysis with Applications and ISIS in Iraq: Understanding the Social and Psychological Foundations of Terror, Dr. McCulloh has established himself as a leading voice in his field. He also founded the Brain Rise Foundation, a nonprofit dedicated to advancing neuroscience research for substance abuse recovery. Prior to his academic career, he had a distinguished military service, retiring as a Lieutenant Colonel after 20 years, during which he led innovative projects in data-driven social science research for countering extremism. Dr. McCulloh's multifaceted expertise and commitment to applying science for societal benefit make him a valuable asset to both academia and public health initiatives.
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Frequently asked questions
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