The study of the organization of social networks is important for the understanding of opinion formation, rumor spreading, and the emergence of trends and fashion. This paper reports empirical analysis of networks extracted from four leading sites with social functionality (Delicious, Flickr, Twitter and YouTube) and shows that they all display a scale-free leadership structure. To reproduce this feature, we propose an adaptive network model driven by social recommending. Artificial agent-based simulations of this model highlight a “good get richer” mechanism where users with broad interests and good judgments are likely to become popular leaders for the others. Simulations also indicate that the studied social recommendation mechanism can gradually improve the user experience by adapting to tastes of its users. Finally we outline implications for real online resource-sharing systems.

Zhou, T., Medo, M., Cimini, G., Zhang, Z., Zhang, Y. (2011). Emergence of Scale-Free Leadership Structure in Social Recommender Systems. PLOS ONE, 6(7), e20648 [10.1371/journal.pone.0020648].

Emergence of Scale-Free Leadership Structure in Social Recommender Systems

CIMINI G;
2011-01-01

Abstract

The study of the organization of social networks is important for the understanding of opinion formation, rumor spreading, and the emergence of trends and fashion. This paper reports empirical analysis of networks extracted from four leading sites with social functionality (Delicious, Flickr, Twitter and YouTube) and shows that they all display a scale-free leadership structure. To reproduce this feature, we propose an adaptive network model driven by social recommending. Artificial agent-based simulations of this model highlight a “good get richer” mechanism where users with broad interests and good judgments are likely to become popular leaders for the others. Simulations also indicate that the studied social recommendation mechanism can gradually improve the user experience by adapting to tastes of its users. Finally we outline implications for real online resource-sharing systems.
2011
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore FIS/02 - FISICA TEORICA, MODELLI E METODI MATEMATICI
Settore FIS/03 - FISICA DELLA MATERIA
English
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0020648
Zhou, T., Medo, M., Cimini, G., Zhang, Z., Zhang, Y. (2011). Emergence of Scale-Free Leadership Structure in Social Recommender Systems. PLOS ONE, 6(7), e20648 [10.1371/journal.pone.0020648].
Zhou, T; Medo, M; Cimini, G; Zhang, Z; Zhang, Y
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/233997
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