A travelling art collection (original) (raw)
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Explorative visualization and analysis of a social network for arts: The case of deviantArt
deviantART is one of the leading social online network sites with a focus on user-generated artworks. The website has a rich data archive of around 150 million images uploaded by its 15 million members, making it the largest art platform today. This paper describes an open source toolkit that provides a humanities scholar with necessary computational tools to analyse and visualise deviantART and similar art collections. To this end, we combine tools from different research fields such as network analysis, computer vision, machine learning and data visualisation. The toolkit provides the functionality to extract data about members and their artworks directly from the deviantART website, using network analysis to select key members for further investigation. The chosen members’ images are automatically downloaded and annotated with different image features, along with which they can be visualised. The visualisation options offered in the implemented toolkit links images to their originals and can be used to explore and analyse the dataset in an interactive way. The toolkit also features an SVM-based classifier to automatically select features to discriminate artists, artworks and styles, which is hidden from the user behind a simple “suggest features” option.
An Artwork in a Networked World
Život umjetnosti, 2016
Digital art history is usually associated with digital tools used to process a large amount of data, accompanied by a visualization interface enabling the presentation of results based on pattern recognition. This is why data visualization has such an important role in analysing a large amount of data. The question which arises is how can visualizations be applied to interpreting an artwork as a specific piece of “information”, rather than just for just analysing a large amount of data? The thesis of this paper is that one of the ways to achieve a qualitative advancement of interpretation is to connect it with network theory, complement to the methodology of digital humanities, as well as contemporary art.
2016
In this essay we introduce MapTap, a research project that zooms in on the ever-changing social networks underpinning Flemish tapestry (1620–1720). MapTap develops the young and still slightly amorphous field of Formal Art Historical Social Network Research (FAHSNR) and is fueled by Cornelia, a custom-made database. Cornelia’s unique data model allows to organize attribution and relational data from a wide array of sources in such a way that the complex multiplex and multimode networks emerging from the data can be transformed into partial unimode networks that enable proper FAHSNR. A case study revealing the key roles played by women in the tapestry landscape shows how this kind of slow digital art history can further our understanding of early modern creative communities and industries.
The Use of Hashtags in the Promotion of Art Exhibitions
2017
Hashtags are increasingly used to promote, foster and group conversations around specific topics. For example, the entertainment industry widely uses hashtags to increase interest around their products. In this paper, we analyze whether hashtags are effective in a niche scenario like the art exhibitions. The obtained results show very different behaviors and confused strategies: from museums that do not consider hashtags at all, to museums that create official hastags, but hardly mention them; from museums that create multiple hashtags for the same exhibition, to those that are very confused about hashtag usage. Furthermore, we discovered an interesting case, where a smart usage of hashtags stimulated the interest around art. Finally, we highlight few practical guidelines with behaviors to follow and to avoid; the guidelines might help promoting art exhibitions.
Collecting Bits and Pieces: What happens when a crowd engages with a digital museum collection
2019
This master thesis research discusses the effects of the online access and use of a museum collection analyzing a large volume of freely available open data of the Dutch Rijksmuseum website. With many graphs and visualizations for the first time big data is studied and presented within the scope of the digital museum. How hundreds of thousands personal exhibition collections show that artworks in the dark of the depot can become popular. How a small but very active group of online visitors show what details of artworks they actually find interesting. How popularity of artworks is influenced by promotion and recommendation mechanisms. This comprehensive case-study on real online user behaviour is of interest to anyone working in the fields of museum collection management and curation, digital heritage, online impact assessment and the use of personas as a modelling concept.