A supplier social network (SSN) consists of a set of web-based tools, applications and exercises to support the formation of communities of inquiry and to promote learning through social interaction. This paper proposes a novel combination of social media and social networking analysis (SNA) tools to model and analyse interactive SSN frameworks. The data analysis considers, on the one hand, the SNA understanding of the supply chain components by using node and network level measures and, on the other hand, categorising and coding social media conversations for the quantity and quality of knowledge assets. In both cases, social media tools provide inputs to obtain outputs or results. Currently, the data collection process is carried out by an insurance supply chain. Validating the proposal will be forthcoming work where the data analysis will be compared between two different insurance supply chains based in two European countries.