Triadic closure dynamics drives scaling laws in social multiplex networks

Klimek, P. & Thurner, S. (2013). Triadic closure dynamics drives scaling laws in social multiplex networks. New Journal of Physics 15 063008. 10.1088/1367-2630/15/6/063008.

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Social networks exhibit scaling-laws for several structural characteristics, such as the degree distribution, the scaling of the attachment kernel, and the clustering coefficients as a function of node degree. A detailed understanding if and how these scaling laws are inter-related is missing so far, let alone whether they can be understood through a common, dynamical principle. We propose a simple model for stationary network formation and show that the three mentioned scaling relations follow as natural consequences of triadic closure. The validity of the model is tested on multiplex data from a well studied massive multiplayer online game. We find that the three scaling exponents observed in the multiplex data for the friendship, communication and trading networks can simultaneously be explained by the model. These results suggest that triadic closure could be identified as one of the fundamental dynamical principles in social multiplex network formation.

Item Type: Article
Research Programs: Advanced Systems Analysis (ASA)
Bibliographic Reference: New Journal of Physics; 15:063008 (3 June 2013)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:48
Last Modified: 27 Aug 2021 17:39

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