Building an Interactive Network Graph to Understand Communities

Explore the intricacies of community formation within organizations through an interactive network graph tutorial. Learn to leverage Python libraries such as xarray, networkx, and dash-cytoscape to construct and analyze network graphs. Dive into exploratory data analysis of people data, using faker to generate realistic datasets while maintaining privacy. Develop a toolkit for Clustering Attributed Graphs and build an extensible interactive dashboard application that revolutionizes traditional HR reporting structures. Gain fundamental knowledge of Graph Theory and its practical applications in understanding developer communities. Apply these skills to create your own interactive dashboard for exploring communities based on shared characteristics like programming languages, projects, and management structures. Extend the concepts learned to various social networks and community analyses. Set up your environment using the provided link and bring your own people data if available, or work with synthetic data during the hands-on session.