  Expanding on other work in the Physics Education Community, we apply Social
Network Analysis to a Faculty Online Learning Community focused on facilitating
the integration of computation into physics courses. The Partnership for
Integration of Computation into Undergraduate Physics (PICUP) uses Slack as a
mechanism for continued communication beyond face-to-face meetings. Through our
analysis, we use networks to represent the Slack channels, identify lurkers,
and use metrics to quantify pariticipation. Additionally, we use randomization
techniques to understand how similar our metric values are to networks of
similar size and distribution. We highlight the need for using the appropriate
randomization model and assumption checking. We characterize participation
amongst users in the network and provide potential reasonings for their
actions.
