Data-Driven Maps of Art History

Many approaches to explain conceptions of developments in the arts to both peers and a more generalaudienceincludeddiagramsrepresentingnetworksofrelatedentitiessuchasgenealogiesof importanthistoricalactorsorstyles.Whilesuchvisualizationsweretraditionallycreatedbyhand, therecentemergenceofextensivedigitalrepositoriesofarthistoryinformationenablenewmeans ofpresentation.Thisworkseekstoexplorethepotentialofopenlyavailabledatasourcestocreate bottom-up,datadrivenversionsofsuchnetworkmapsofarthistory.Ithighlightscommonalities anddifferencesbetweenviewsderivedfrominstitutionalandcrowd-sourceddatarepositoriesand comparesthemwithidentifiedhistoricalexamples.Theresultssuggestthattheavailabledatacanbe usedtocreatelargescaleviewsonspecificdevelopmentsinarthistory,potentiallyservingasaidfor navigatingvastonlinecollectionsofdigitizedartworksbutalsoasmeansofreflectionontheorigin ofthedatasourcesthemselves. KeywoRDS Art Styles, Biographies, Core-Periphery, Data Analytics, DBpedia, Genealogy, Network Visualization, ULAN, Wikidata, Wikipedia

[1]  Jens Lehmann,et al.  DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.

[2]  Yana Volkovich,et al.  Biographical social networks on Wikipedia: a cross-cultural study of links that made history , 2012, WikiSym '12.

[3]  M E J Newman,et al.  Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Maximilian Klein,et al.  VIAFbot and the Integration of Library Data on Wikipedia , 2013 .

[5]  M. Jacomy,et al.  ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software , 2014, PloS one.

[6]  J. Tebbs,et al.  An Introduction to Categorical Data Analysis , 2008 .

[7]  Dima Shepelyansky,et al.  Interactions of Cultures and Top People of Wikipedia from Ranking of 24 Language Editions , 2014, PloS one.

[8]  Markus Strohmaier,et al.  Linguistic neighbourhoods: explaining cultural borders on Wikipedia through multilingual co-editing activity , 2016, EPJ Data Science.

[9]  Josef Froschauer,et al.  Comparing Art Historical Networks , 2013, Leonardo.

[10]  L. Manovich.  Data Science and Digital Art History , 2015 .

[11]  Melissa Gill,et al.  Encoding Multilingual Knowledge Systems in the Digital Age: The Getty Vocabularies , 2015 .

[12]  Josef Froschauer,et al.  Revisiting 3D information landscapes for the display of art historical web content , 2011, Advances in Computer Entertainment Technology.

[13]  Michael Kaufmann,et al.  A systematic approach to the one-mode projection of bipartite graphs , 2011, Social Network Analysis and Mining.

[14]  Dirk Helbing,et al.  A network framework of cultural history , 2014, Science.

[15]  Markus Krötzsch,et al.  Wikidata , 2014, Commun. ACM.

[16]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.

[17]  Paul Green-Armytage,et al.  A Colour Alphabet and the Limits of Colour Coding , 2010 .

[18]  Josef Froschauer,et al.  Collectivizing the Barr Model , 2014, Leonardo.

[19]  Christian Huemer,et al.  Network Dimensions in the Getty Provenance Index , 2017, 1706.02804.