A Framework for Image Dark Data Assessment.

We study the problem of how to calculate the importance score for each node in a graph where data are denoted as hash codes. Previous work has shown how to acquire scores in a directed graph. However, never has a scheme analyzed and managed the graph whose nodes consist of hash codes. We extend the past methods and design the undirected hash-based graph and rank algorithm. In addition, we present addition and deletion strategies on our graph and rank.