Abstract
This paper develops a general framework that connects interaction-network analysis with theoretically informed interpretive sampling. Digital social research often faces a trade-off between large-scale relational measurement and close interpretation of discourse. The proposed approach uses network structure to identify strategically meaningful actors, ties, communities, and communication episodes for qualitative analysis.
The framework is designed to measure networked power and discursive influence while retaining the contextual depth needed to interpret framing, legitimacy, and meaning. It provides a reproducible bridge between social network analysis and discourse analysis for research using social-media and other digital interaction data.