Within bibliographic research commonly network analysis is used. However, it doesn't tell us much about individual entities of the network. The challenge is that bibliographic data is highly structured, but nominative. Borrowing ideas from phenomenography, this article shows an approach to exploring such data. The idea is to visualise first single dimensions of the data, then pairs of dimensions, and only at the end attempt to represent the full-blown data network.
