Network analysis of art historical attributes using social tags

Max Arends, Josef Wolfartsberger, Doron Goldfarb, Dieter Merkl

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

This paper deals with the network analysis of social tags that were annotated for works of art. It is thereby possible to visualise relations among the tags that represent themes, persons and iconographic attributes. By applying network clustering algorithms, it is possible to identify different groups of tags that correspond to art historical classifications. We provide different examples to show correlations of themes, persons, and iconographic details that are based solely on the annotations of the users.
Translated title of the contributionNetwork analysis of art historical attributes using social tags
Original languageGerman
Title of host publicationEVA Conferences
Pages138-144
Publication statusPublished - 2012
EventEVA 2012 Berlin Elektronische Medien & Kunst, Kultur, Historie - Berlin, Germany
Duration: 7 Nov 20129 Nov 2012
https://www.eva-berlin.de/2012-3/

Conference

ConferenceEVA 2012 Berlin Elektronische Medien & Kunst, Kultur, Historie
CountryGermany
CityBerlin
Period07.11.201209.11.2012
Internet address

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