I developed an interactive R Shiny dashboard to explore community structure in a therapist–customer network: filter interactions spanning over two years of data, compare Walktrap, Louvain, Infomap and Fast-Greedy algorithms with modularity scores and a recommended best performer, and visualize the network in a force-directed layout where node size and color reflect degree and community. The app also provides a degree-vs-rating analysis and tables of the top-10 and bottom-10 therapists by total rating. Built with shiny, shinydashboard, dplyr, igraph and ggraph, it’s deployed on shinyapps.io – check out the live demo via the link below.