Interactive Visualization of Bibliometric Ddata

Brief description

This was my capstone project for the Data Incubator Fellowship. I was interested in mapping interdisciplinary collaboration in education, psychology, and neuroscience research. Using board members of the International Mind, Brain, and Education Society (IMBES) as starting points, I collected metadata on publications from PubMed (in part because PubMed had a better API system than other research databases at the time). The amassed metadata was then converted to a network model with researchers as nodes (see below). This is just a proof-of-concept; I am currently working with one of my mentees to gather metadata from a wider range of journals/articles and to look for keyword or subject similarities (sort of like sentiment analysis).

Interactive Graph

Each node is a researcher. The size of the node is proportional to the number of publications found for the analysis. A link between two researcher nodes means they co-authored a publication. Authors who frequently collaborate are closer together. The colors are a rough grouping by subdiscipline: red is literacy, blue is numeracy, and green is both/neither. To zoom in, click and select a portion of the graph; to go back to the full view, use the arrows icon in the upper right. Click here to open the graph in a new tab.