This paper proposes a novel method of analyzing data to find important information about the context of research papers. The
proposed CCTVA (Collecting, Cleaning, Translating, Visualizing, and Analyzing) method helps researchers find the context of
papers on topics of interest. Specifically, the method provides visualization information that maps a research topic’s evolution
and links to other papers based on the results of Google Scholar and CiteSeer. CCTVA provides two types of information: one
type shows the paper’s title and the author, while the other shows the paper’s title and the reference. The goal of CCTVA
is enable both novices and experts to gain insight into how a field’s topics evolve over time. In addition, by using linkage
analysis and visualization, we identify five special phenomena that can help researchers conduct literature reviews.
Keywords Automatic meta-analysis - Human factors - Link mining