How should I interpret your network visualizations?
Network graphs can be a powerful tool to visualize how for example researchers, institutions and research areas are connected through publications.
A network graph consists of 'nodes', representing different types of data, and 'edges', representing the connections between the data sets. Usually these are shown as circles and lines.
In our network visualizations, the nodes usually represent publications by for example a particular author or an organization. The size of the circle indicates the number of publications, so that the larger it is, the more publications by this author/organization has been found in the visualized dataset.
The line width indicates the number of connections between nodes, for example the number of copublications that a KI author has with a particular university.
Nodes in different data sets have different colours, so that authors are for example purple but the organizations are grey.