I'm doing graph clustering, where stories are connected by shared terms, so I'm ranking based on the weight of the edges to a story inside the cluster. The terms are weighted by frequency over all the stories in the system with the intention of prioritizing articles contain a lot of specific terms that look like they're related to the story.