The concept of a social network will be familiar to most Internet users through web sites such as ‘Facebook’ or ‘Link- edIn’; the idea being that groups of like-minded individuals can connect with each other to share knowledge and experience to the members’ mutual advantage. Wellmann (1997) states that the benefit of computer networking is that weak ties link dissimilar people, hence revealing new sources of information and resources. While the aforementioned web sites are open to anyone to join, Irvine et al. (2008) describe an enterprise based social networking initiative known as ‘Instant Knowledge’. This research programme is developing the capability to capture tacit personal knowledge and make it available on- request, promptly, and securely, to authorised collaborators. In an enterprise environment, such an application would allow a flexible and dynamic work environment with ad-hoc teams of experts forming quickly to provide customer specific solu- tions or give an employee immediate access to the most rele- vant and existing knowledge. The system is based on data gathering, data mining, and data distribution. Relevance is ensured by deploying machine learning techniques to process