131101 20240207145455.0 doi 10.1088/1742-5468/2013/12/P12008 sideral 84631 ART-2013-84631 eng Sanz, Joaquín Universidad de Zaragoza (orcid)0000-0002-2980-9685 Data reliability in complex directed networks 2013 Access copy available to the general public Unrestricted The availability of data from many different sources and fields of science has made it possible to map out an increasing number of networks of contacts and interactions. However, quantifying how reliable these data are remains an open problem. From Biology to Sociology and Economics, the identification of false and missing positives has become a problem that calls for a solution. In this work we extend one of the newest, best performing models—due to Guimerá and Sales-Pardo in 2009—to directed networks. The new methodology is able to identify missing and spurious directed interactions with more precision than previous approaches, which renders it particularly useful for analyzing data reliability in systems like trophic webs, gene regulatory networks, communication patterns and several social systems. We also show, using real-world networks, how the method can be employed to help search for new interactions in an efficient way. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.056 2013 PHYSICS, MATHEMATICAL 9 / 55 = 0.164 2013 Q1 T1 MECHANICS 19 / 139 = 0.137 2013 Q1 T1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Cozzo, Emanuele Universidad de Zaragoza (orcid)0000-0002-5655-1587 Moreno, Yamir Universidad de Zaragoza (orcid)0000-0002-0895-1893 2004 405 Universidad de Zaragoza Dpto. Física Teórica Área Física Teórica 2013, 12 (2013), P12008 [21 pp.] J. Stat. Mech.-Theory Exp. Journal of Statistical Mechanics: Theory and Experiment 1742-5468 1371641 http://zaguan.unizar.es/record/131101/files/texto_completo.pdf Postprint 1785575 http://zaguan.unizar.es/record/131101/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:131101 articulos driver 2024-02-07-14:53:41 ARTICLE