Author, as appears in the article.: Guimerà, R. Duch, J. Amaral, L.A.N. Bustamante, F.E. Sánchez, M.A. Otto, J.S. Choffnes, D.R. Gavaldà-Miralles, A.
Department: Enginyeria Química
URV's Author/s: Arnau Gavaldà-Mirallesa, David R. Choffnes, John S. Otto, Mario A. Sánchez, Fabián E. Bustamante, Luís A. N. Amaral, Jordi Ducha, Roger Guimerà
Abstract: Tens of millions of individuals around the world use decentralized content distribution systems, a fact of growing social, economic, and technological importance. These sharing systems are poorly understood because, unlike in other technosocial systems, it is difficult to gather large-scale data about user behavior. Here, we investigate user activity patterns and the socioeconomic factors that could explain the behavior. Our analysis reveals that (i) the ecosystem is heterogeneous at several levels: content types are heterogeneous, users specialize in a few content types, and countries are heterogeneous in user profiles; and (ii) there is a strong correlation between socioeconomic indicators of a country and users behavior. Our findings open a research area on the dynamics of decentralized sharing ecosystems and the socioeconomic factors affecting them, and may have implications for the design of algorithms and for policymaking.
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0027-8424
Last page: 15327
Journal volume: 111
Papper version: info:eu-repo/semantics/publishedVersion
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Entity: Universitat Rovira i Virgili.
Journal publication year: 2014
First page: 15322