Music recommendation systems have centred on two different approaches: content based analysis and collaborative filtering. Little attention has been paid to the reasons why these techniques have been effective. Fortunately, the social sciences have asked these questions. One of the findings of this research is that social context is much more important than previously thought. This paper introduces this body of research from sociology and its relevance to music recommendation algorithms.