Complex Networks are an ubiquitous phenomenon that is studied in physics, computer science, biology, economics, social science, and increasingly the arts and humanities. While almost any conceivable link relation in arts and humanities data exhibits complex network properties an important question with regards to future directions of research remains to be answered: Can we list the truely interesting node and link types in arts and humanities data?
Analyzing and visualizing large bodies of data is one way to find such interesting aspects and relationships beyond the obvious and well studied classification, citation, social, and geographic networks. Another way is to ask practitioners in what they are really interested. In this latter sense, this session brings together participants to collectively mine their brains in discussion.
During the session we will come up with two lists of interesting node and link types. The result will be a weighted diagram of networks that are worthwhile to study.
For an equivalent result based on a scholarly database see for e.g. revealingmatrices.schich.info/fig/3.htm
