BMC Bioinformatics, 2008, 9:270
Graph analysis algorithms such as PageRank and HITS have been successful in Web
environments because they are able to extract important inter-document relationships
from manually-created hyperlinks. We consider the application of these algorithms to related
document networks comprised of automatically-generated content-similarity links.
Specifically, this work tackles the problem of document retrieval in the biomedical domain,
in the context of the PubMed search engine. A series of reranking experiments
demonstrate that incorporating evidence extracted from link structure yields significant
improvements in terms of standard ranked retrieval metrics. These results extend the
applicability of link analysis algorithms to different environments.