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Title:Beauty in artistic expressions through the eyes of networks and physics
Authors:ID Perc, Matjaž (Author)
Files:.pdf RAZ_Perc_Matjaz_2020.pdf (2,61 MB)
MD5: 4A0A27ACF4B08EFDEAC43F37075F19F6
 
URL http://dx.doi.org/10.1098/rsif.2019.0686
 
Language:English
Work type:Scientific work
Typology:1.02 - Review Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:Beauty is subjective, and as such it, of course, cannot be defined in absoluteterms. But we all know or feel when something is beautiful to us personally.And in such instances, methods of statistical physics and network sciencecan be used to quantify and to better understand what it is that evokesthat pleasant feeling, be it when reading a book or looking at a painting.Indeed, recent large-scale explorations of digital data have lifted the veilon many aspects of our artistic expressions that would remain foreverhidden in smaller samples. From the determination of complexity andentropy of art paintings to the creation of the flavour network and the prin-ciples of food pairing, fascinating research at the interface of art, physics andnetwork science abounds. We here review the existing literature, focusing inparticular on culinary, visual, musical and literary arts. We also touch uponcultural history and culturomics, as well as on the connections betweenphysics and the social sciences in general. The review shows that the syner-gies between these fields yield highly entertaining results that can oftenbe enjoyed by layman and experts alike. In addition to its wider appeal,the reviewed research also has many applications, ranging from improvedrecommendation to the detection of plagiarism.
Keywords:complexity, entropy, network science, data science, self-organization
Publication status:Published
Publication version:Version of Record
Submitted for review:03.10.2019
Article acceptance date:17.02.2020
Publication date:11.03.2020
Year of publishing:2020
Number of pages:str. 1-13
Numbering:Vol. 17, no. 164
PID:20.500.12556/DKUM-90133 New window
UDC:53
ISSN on article:1742-5689
COBISS.SI-ID:25167112 New window
DOI:10.1098/rsif.2019.0686 New window
Publication date in DKUM:17.09.2024
Views:145
Downloads:419
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Journal of the Royal Society interface
Publisher:The Royal Society
ISSN:1742-5689
COBISS.SI-ID:24116697 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J4-9302-2018
Name:Raziskave medceličnih komunikacij v večceličnih skupnostih različnih izolatov bakterije iz rodu Bacillus

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J1-9112-2018
Name:Kvantna lokalizacija v kaotičnih sistemih

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0403-2019
Name:Računsko intenzivni kompleksni sistemi

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:11.03.2020

Secondary language

Language:Slovenian
Keywords:kompleksnost, entropija, omrežna znanost, podatkovna znanost, samo-organizacija


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