Course
Network Analysis in R
Intermediate
Updated 05/2025Start Course for Free
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RProbability & Statistics4 hours12 videos50 Exercises4,000 XP20,269Statement of Accomplishment
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Course Description
Get an Introduction to Networks
Discover the fundamental concepts in network analysis. This course begins by taking you through the basics of social networks, vertices and edges, and how you can use the igraph R package to explore and visualize network data.You’ll move on to looking at directed networks in more detail, including the identification of key relationships between vertices and applying your new skills to a network data set looking at measles transmission in Hagelloch.
Understand Network Structures and Graphs
Learn to characterize network structures and substructures by looking at network density and average path length. The third chapter of this course takes you through randomization and random graphs, before moving on to triangles, transitivity, and visualizing cliques.Identify Relationships Using Assortativity in igraph
Assortativity determines how likely two vertices are to be attached to each other if they share a common attribute - whether that’s numerical or categorical. You’ll explore the ASSORTATIVITY function within igraph to determine the impact of gender on a friendship network dataset, and will apply randomizations to assess your findings.Create Interactive Network Plots using threejs
At the end of this course, you’ll expand your knowledge beyond igraph to explore the network visualization capabilities of threejs. You’ll make your first interactive network plots using this R package, and will look at how you can further develop your visualization.Prerequisites
Intermediate R1
Introduction to networks
2
Identifying important vertices in a network
3
Characterizing network structures
4
Identifying special relationships
Network Analysis in R
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