  The accessibility of documents within a collection holds a pivotal role in
Information Retrieval, signifying the ease of locating specific content in a
collection of documents. This accessibility can be achieved via two distinct
avenues. The first is through some retrieval model using a keyword or other
feature-based search, and the other is where a document can be navigated using
links associated with them, if available. Metrics such as PageRank, Hub, and
Authority illuminate the pathways through which documents can be discovered
within the network of content while the concept of Retrievability is used to
quantify the ease with which a document can be found by a retrieval model. In
this paper, we compare these two perspectives, PageRank and retrievability, as
they quantify the importance and discoverability of content in a corpus.
Through empirical experimentation on benchmark datasets, we demonstrate a
subtle similarity between retrievability and PageRank particularly
distinguishable for larger datasets.
