This bachelor thesis examines methods of Social Network Analysis in the context of in-house collaboration platforms and gives an overview of appropriate metrics based on findings in literature. Within this literature analysis advantages in analyzing these enterprise social networks for companies are pointed out. Also possible problems, for example relating to data protection, will be explained. Based on dynamical long-term analysis of the network of UniConnect it was detected, that measures of centrality show the connectedness of an actor. These measures allow drawing conclusions concerning position and function of the employee in the company. Furthermore the complexity of the network can be determined through clique analysis. By viewing at the gradual development of the network, it is possible to identify persons, who are strongly interconnected within a short period of time. These employees have strategic importance relating to knowledge management and the dissemination of information within the company.