In this talk I will focus on the increasingly popular socio-semantic framework, which can aid in the analysis of meaning structures along with underlying relational actor behaviors, thus accounting for the joint influence of both social and semantic structures. Using examples from Twitter--where users create social structures (e.g., mentioning others) and well as content (e.g., creating or disseminating tweets)—I show how the analysis of these two types of structures can be done jointly. Furthermore, I will also present a network analysis approach designed to identify prominent structural positions in these socio-semantic networks.