20.500.12556/DKUM-90133 Beauty in artistic expressions through the eyes of networks and physics 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. complexity entropy network science data science self-organization kompleksnost entropija omrežna znanost podatkovna znanost samo-organizacija true false true Angleški jezik Slovenski jezik Znanstveno delo 2024-08-23 04:14:48 2024-09-17 13:22:44 2025-02-27 03:11:29 0000-00-00 00:00:00 2020 0 0 str. 1-13 no. 164 Vol. 17 2020 0000-00-00 Zaloznikova Objavljeno apc 2019-10-03 2020-02-17 2020-03-11 53 25167112 10.1098/rsif.2019.0686 1742-5689 RAZ_Perc_Matjaz_2020.pdf RAZ_Perc_Matjaz_2020.pdf 1 4A0A27ACF4B08EFDEAC43F37075F19F6 effbb59e471aba98976b9078d75eaef61de0a9c415316711331efed1c8729f57 dddfe7c9-f424-11ef-a5fa-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=188845 http://dx.doi.org/10.1098/rsif.2019.0686 0 eb78ae35-f424-11ef-a5fa-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=188846 Fakulteta za naravoslovje in matematiko 0 0 0