This document summarizes a research paper that studied using social signals from networks to enhance document retrieval. It investigated how the diversity and quality of social signals associated with documents impacts relevance. The researchers hypothesized that documents with an equitable distribution of signals from different networks would be more relevant than documents dominated by a single signal. They proposed methods to estimate signal diversity and evaluated their approach on an IMDb dataset containing documents and relevance judgments, outperforming baselines that did not consider social signals or their properties.