deviantART is the largest online community of user-generated artworks. So far, a scholarly study of deviantART has been missing. The main goal of this paper is to describe several tools for the network analysis of this community and to propose future research directions for understanding this collaborative and autonomous art venue.

The authors present animations based on the aggregated journal-journal citations of Leonardo during the period 1974–2008. Leonardo is mainly cited by journals outside the arts domain for cultural reasons, for example, in neuropsychology and physics. Articles in Leonardo itself cite a large number of journals, but with a focus on the arts. Animations at this level of aggregation enable us to show the history of the journal from a network perspective.

This study analyzes the differences between the category structure of the Universal Decimal Classification (UDC) system (which is one of the widely used library classification systems in Europe) and Wikipedia. In particular, the authors compare the emerging structure of category-links to the structure of classes in the UDC. The authors scrutinize the question of how knowledge maps of the same domain differ when they are created socially (i.e. Wikipedia) as opposed to when they are created formally (UDC) using classification theory. As a case study, we focus on the category of “Arts”.