Quantifying Creativity in Art Networks

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Ahmed Elgammal and Babak Saleh: Quantifying Creativity in Art Networks In: Computational Creativity 2015 ICCC 2015, 39-46.



This paper proposes a computational framework for assessing the creativity of products, such as paintings, sculptures, poetry, etc. The proposed computational framework is based on constructing a network between creative products and using this network to infer about the originality and influence of its nodes. Through a series of transformations, we construct a Creativity Implication Network. We show that inference about creativity in this network reduces to a variant of network centrality problems which can be solved efficiently. We apply the proposed framework to the task of quantifying creativity of paintings (and sculptures). We experimented on two datasets with over 62K paintings to illustrate the behavior of the proposed framework.

Extended Abstract


 author = {Elgammal, Ahmed and Saleh, Babak},
 title = {Quantifying Creativity in Art Networks},
 booktitle = {Proceedings of the Sixth International Conference on Computational Creativity},
 series = {ICCC2015},
 year = {2015},
 month = {Jun},
 location = {Park City, Utah, USA},
 pages = {39-46},
 url = {http://computationalcreativity.net/iccc2015/proceedings/2_3Elgammal.pdf http://de.evo-art.org/index.php?title=Quantifying_Creativity_in_Art_Networks },
 publisher = {International Association for Computational Creativity},
 keywords = {computational, creativity},

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