Abstract
Computer and communication technologies created new modes of creating and sharing arts. In this paper, we apply 'diffusion of innovation' theory to investigate how artistic content travels in an online social network site called deviantArt, a site designed for sharing user-generated artworks. We first define what innovation corresponds to in such a context, and then discuss how it can be measured with the help of network, image and text analysis methods. We propose to use user-shared resources as relatively easy targets of tracking innovation.
| Original language | English |
|---|---|
| Pages (from-to) | 137-149 |
| Number of pages | 13 |
| Journal | Mind and Society |
| Volume | 12 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jun 2013 |
Bibliographical note
Funding Information:Acknowledgments This research is supported by Bogazici University BAP-6531 project and a Nederlandse Organisatie voor Wetenschappelijk Onderzoek NWO-VENI grant.
Funding
Acknowledgments This research is supported by Bogazici University BAP-6531 project and a Nederlandse Organisatie voor Wetenschappelijk Onderzoek NWO-VENI grant.
Keywords
- Art market
- Complex networks
- Image analysis
- Social network sites
- Text analysis