Discourse Network Analysis allows researchers and practitioners to analyse debates as temporally changing networks. Examples include policy debates among political actors about policy instruments, debates about best practices among professionals, and deliberation in online communities. The software Discourse Network Analyzer (DNA) supports the manual coding of actors' opinions in text data and the export of network data for further analysis, for example in visone or R. Text sources can include newspaper articles, parliamentary speeches, or social media. The resulting networks can show relational aspects of the data such as: coalitions of actors around shared opinions and their dynamics over time; the emergence of discourses and the extent to which they are shared among actors; opinion brokers or opinion leaders; the interconnectivity or turnover of actors or arguments; or the centrality of actors or arguments in the debate. Once coded, the full array of network-analytic methods can be employed to analyse the debate, including both exploratory network analysis and statistical modelling of longitudinal networks. This workshop provides an introductory overview of the different usage scenarios and techniques available. No particular technical prerequisite skills are required at this point. After completing the workshop, participants will understand why it makes sense to apply network analysis to text data, debates, and discourses, what methods are available for analysis, and, at an introductory level, how to go from input text, via content coding, to network analysis using the GUI-based applications Discourse Network Analyzer and visone.