Please use this identifier to cite or link to this item: https://doi.org/10.1088/1367-2630/12/4/043029
Title: Emergence of global preferential attachment from local interaction
Authors: Li, M. 
Gao, L.
Fan, Y.
Wu, J.
Di, Z.
Issue Date: 14-Apr-2010
Citation: Li, M., Gao, L., Fan, Y., Wu, J., Di, Z. (2010-04-14). Emergence of global preferential attachment from local interaction. New Journal of Physics 12 : -. ScholarBank@NUS Repository. https://doi.org/10.1088/1367-2630/12/4/043029
Abstract: Global degree/strength-based preferential attachment is widely used as an evolution mechanism of networks. But it is hard to believe that any individual can get global information and shape the network architecture based on it. In this paper, it is found that the global preferential attachment emerges from the local interaction models, including the distance-dependent preferential attachment (DDPA) evolving model of weighted networks (Li et al 2006 New J. Phys. 8 72), the acquaintance network model (Davidsen et al 2002 Phys. Rev. Lett. 88 128701) and the connecting nearest-neighbor (CNN) model (Vázquez 2003 Phys. Rev. E 67 056104). For the DDPA model and the CNN model, the attachment rate depends linearly on the degree or vertex strength, whereas for the acquaintance network model, the dependence follows a sublinear power law. It implies that for the evolution of social networks, local contact could be more fundamental than the presumed global preferential attachment. © IOP Publishing Ltd and Deutsche Physikalische Gesellschaft.
Source Title: New Journal of Physics
URI: http://scholarbank.nus.edu.sg/handle/10635/115086
ISSN: 13672630
DOI: 10.1088/1367-2630/12/4/043029
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