With the huge popularity of social networks, publishing and consuming content through information streams is nowadays at the heart of the new Web. Top-k queries over the streams of interest allow limiting results to relevant content , while continuous processing of such queries is the most effective approach in large scale systems. Current systems fail in combining continuous top-k processing with rich scoring models including social network criteria. We present in this paper our vision on the possible features of a social network of information streams, with a rich scoring model compatible with continuous top-k processing.