10414 8 34672 2 77089 document 34672 Triadic closure dynamics.pdf application/pdf 3e7d50ec35fbcce33c74ef3f49de1f01 MD5 409081 2016-02-26 10:36:42 https://pure.iiasa.ac.at/id/eprint/10414/1/Triadic%20closure%20dynamics.pdf 10414 1 1 application/pdf text en public cc_by_nc

Triadic closure dynamics.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/34672 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/34672 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/34672 archive 351 disk0/00/01/04/14 2016-01-15 08:48:48 2021-08-27 17:39:27 2016-01-15 08:48:48 article show Klimek P. 1924 Thurner S. 1918 pub iis_met iis_mod prog_asa 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. 2013-06 published IOP 10.1088/1367-2630/15/6/063008 XJ-13-133 New Journal of Physics; 15:063008 (3 June 2013) [doi:10.1088/1367-2630/15/6/063008] 307 public New Journal of Physics 15 063008 63008 TRUE 1367-2630 FALSE info:eu-repo/semantics/article