A visualization of relationships among papers using citation and co-citation information

Abstract

When we conduct scholarly surveys, we occasionally encounter difficulties in grasping the vast amount of related papers. Because academic papers have relationships, such as citing and cited relationships, we considered utilizing them for supporting scholarly surveys. In this paper, we propose a method for visualizing relationships among papers, and we construct paper graphs using two types of relationships, namely, citation and co-citation. Moreover, we quantify the strengths of citations and co-citations based on their frequency and the positions of co-citations, and show both types of relationships together in a graph. We constructed paper graphs using papers in the database field and discussed their usefulness.