PhD student Sichen Jin has been working on a SSN software that allows users to interact with a sociogram network and a geolocated network. The software computes metrics and allows users to create linked scatterplots to find correlations among node characteristics that can represent “power” in the network, as well as geographic characteristics that illustrate geographic distance, centrality, or dispersion.
We are very excited to launch the SNoMaN software during the SSN Workshop in May 2023! During the workshop, our team will be leading an interactive tutorial to show users how to analyze their own datasets with this software. Go ahead and check it out using the link below: