This thesis analyses the network structure and underlying mechanisms of a diffusion process at the University of Graz. The University fosters sustainable modes of transport by providing their employees with subsidised bicycles. As active commuting can contribute substantially to the reduction of traffic induced emission, the promotion of these modes of transport is of utmost importance.In order to be adopted more widely, several factors related to the underlying structures and processes need to be considered. Above all, information about an innovation needs to spread. Several studies underline the importance of Word-of-Mouth (WOM) in diffusion processes. Other mechanisms influencing the adoption of a product were found to be network structures, network effects and social influence processes.In order to gain insights on the diffusion process of the bicycles, an on-line survey was conducted. Then a social network analysis was performed with Networkx (a python language module). The results indicate that information transmission and communication networks are sparse, with small distances of average shortest path lengths, and do not inhibit a power-law degree distribution. In the literature, sparse network structures are assumed to negatively affect the diffusion process, whereas small distances of shortest paths do so positively. The lack of so-called social hubs (highly connected nodes) might influence the adoption rate and market size negatively. Moreover, influential nodes in the information transmission and influence process were identified. These do not correspond to the opinion leaders found in the survey, indicating that traditional opinion leaders were not relevant for the diffusion process.The most frequently named sources of information were the Newsletter of the University and WOM. The promotion of bicycles via the Newsletter seems a promising approach for further diffusion. This could lead to more WOM, which might positively affect the adoption rate.