Social Network Analysis - Lab Exercises in R for Beginners

Learn social network analysis through hands-on R programming exercises designed for beginners who already understand basic social network concepts. Practice coding skills using the iGraph package while exploring fundamental network analysis techniques including graph visualization, network density calculations, path distance measurements, and degree distributions. Master clustering algorithms and centrality measures including in-degree, out-degree, closeness centrality, betweenness centrality, and eigenvector centrality through seven progressive lab exercises. Access provided lab code and cheat sheets to reinforce learning and apply network analysis concepts to real data using R programming.