Artificial Intelligence (AI) is being rapidly adopted across scientific disciplines, and the field of social network analysis is no exception. Specifically, how we can leverage AI methods such as natural language processing, machine learning, graph algorithms, to analyze social network data. These methods allow us to streamline the data collection process, increase the power of statistical tools to detect changes in network structure or composition, and examine associations between networks and outcomes of interest. Understanding these dynamics utilizing AI methods, we can understand how social dynamics impact health and educational outcomes.