TY  - JOUR
SN  - 1932-6203
PB  - Public Library of Science
VL  - 6
A1  - Zhou, Tao
A1  - Medo, Matú?
A1  - Cimini, Giulio
A1  - Zhang, Zi-Ke
A1  - Zhang, Yi-Cheng
Y1  - 2011///
ID  - eprints2841
TI  - Emergence of Scale-Free Leadership Structure in Social Recommender Systems
AV  - public
KW  - Social networks
KW  -  Network analysis
KW  -  Statistical distributions
KW  -  Scale-free networks
N2  - <p>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.</p>
JF  - PloS One
UR  - http://dx.doi.org/10.1371%2Fjournal.pone.0020648
IS  - 7
ER  -