The purpose of the CASOS Summer Institute is to provide and intense and hands-on introduction to network analytics and visualization from a combined social-network, network-science, link-analysis and dynamic network analysis perspective. Particular attention will be paid to the application of the associated techniques and theories to complex socio-technical systems with dynamic and/or geo-spatial features. Attendees will learn to:
extract networks from texts, JSON files (e.g., news and tweets), or spreadsheets;
analyze and visualize networks using one-mode, two-mode, and n-mode metrics;
identify groups and clusters;
examine networks spatially;
examine overtime networks and explore dynamic aspects of these networks;
and simulate change in networks and the diffusion/dispersion of information and beliefs through networks.