70304 20191127155459.0 doi 10.3390/e20040257 sideral 105779 ART-2018-105779 eng Kartun-Giles, A.P. Sparse power-law network model for reliable statistical predictions based on sampled data 2018 Access copy available to the general public Unrestricted A projective network model is a model that enables predictions to be made based on a subsample of the network data, with the predictions remaining unchanged if a larger sample is taken into consideration. An exchangeable model is a model that does not depend on the order in which nodes are sampled. Despite a large variety of non-equilibrium (growing) and equilibrium (static) sparse complex network models that are widely used in network science, how to reconcile sparseness (constant average degree) with the desired statistical properties of projectivity and exchangeability is currently an outstanding scientific problem. Here we propose a network process with hidden variables which is projective and can generate sparse power-law networks. Despite the model not being exchangeable, it can be closely related to exchangeable uncorrelated networks as indicated by its information theory characterization and its network entropy. The use of the proposed network process as a null model is here tested on real data, indicating that the model offers a promising avenue for statistical network modelling. info:eu-repo/grantAgreement/ES/DGA/FENOL-GROUP info:eu-repo/grantAgreement/ES/MINECO/FIS2014-55867-P info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.419 2018 PHYSICS, MULTIDISCIPLINARY 28 / 81 = 0.346 2018 Q2 T2 0.524 2018 Physics and Astronomy (miscellaneous) 2018 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Krioukov, D. Gleeson, J.P. (orcid)0000-0002-0895-1893 Moreno, Y. Universidad de Zaragoza Bianconi, G. 2004 405 Universidad de Zaragoza Dpto. Física Teórica Área Física Teórica 20, 4 (2018), 257 [17 pp] Entropy ENTROPY 1099-4300 463806 http://zaguan.unizar.es/record/70304/files/texto_completo.pdf Versión publicada 99613 http://zaguan.unizar.es/record/70304/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:70304 articulos driver 2019-11-27-15:49:07 ARTICLE