Characterizing network structures
Identifying important vertices in a network
Identifying special relationships
Certification
You will get a certificate on completing this course.
University
This course is not affiliated with any university.
Price
This course costs very less.
Edvicer's Rewards
You can get a cashback of ₹ 500 on buying this course.
Limited Time Discount Offers
Save your money with Edvicer. Check out our premium courses with discount offers.
Save your money with Edvicer. Check out our premium courses with discount offers.
Map your Career
Not sure which job profiles this course will open for you? Check out our AI based tool to get a complete personalized career map.
Not sure which job profiles this course will open for you? Check out our AI based tool to get a complete personalized career map.
Certification
You will get a certificate on completing this course.
University
This course is not affiliated with any university.
Price
This course costs very less.
Edvicer's Rewards
You can get a cashback of ₹ 500 on buying this course.
In this course you'll learn how to work with and visualize network data. You'll use the igraph package to create networks from edgelists and adjacency matrices. You'll also learn how to plot networks and their attributes. Then, you'll learn how to identify important vertices using measures like betweenness and degree. Next, this course covers network structures, including triangles and cliques. Next, you'll learn how to identify special relationships between vertices, using metrics like assortativity. Finally, you'll see how to create interactive network plots using threejs.
Introduction to networks
Characterizing network structures
Identifying important vertices in a network
Identifying special relationships
Write your review of Network Analysis in R
![]() | ![]() | ![]() |
![]() | ![]() | ![]() |
![]() | ![]() | ![]() |