and used or discarded based on predetermined inclusion and exclusion criteria. Research which focuses on the success factors of Open Source Software through Network Analysis is also examined. Results: A subjective categorisation is established for the papers: Structure, Lifecycle and Communication. It was found that the structure of a project has a large bearing on project success, with developers having previously worked together being indicative of project success. Other structure indicators of success are having a small but structured hierarchy, a diverse user and developer base, and project prominence. However, it was found that information on how these structures appear and evolve over time is lacking, and future research into temporal data models to determine project success information is suggested. Conclusions: A categorisation of existing research on Social Network Analysis is provided as a basis for further research. Further work into the lifecycle of OSS projects through Social Network Analysis of temporal project information is suggested.