The Research Map helps education leaders, policymakers, and technology developers quickly access education and learning science research findings that can inform their work.
Three ways to navigate the tool:
The map was built using data from nearly 100,000 articles published between 2005-2014, found in 183 academic journals from the Web of Science database. We analyzed the bibliographic record (title, keywords, author, cited references, and abstract) for each article and created a bibliographic coupling network, to link articles sharing at least two common references.
Next, we used an algorithm to detect groups of articles with densely shared links. In the Network View, articles belonging to the same group are gathered into nodes, or circles, which we call “topics.” The circle size is proportional to the number of articles it contains. Similarly, the width of a border arc of color in the Chord View is proportional to the number of articles it contains. In both map views, the thickness of the lines (or chords) between topics indicates how strongly they are connected. Then, we applied the same algorithm to the articles in each topic to split them into subtopics.
After the map was built, we reviewed the most cited and representative papers in each topic and subtopic to create labels and descriptions. The data analysis and visualization was completed using BiblioTools and D3.