000131101 001__ 131101 000131101 005__ 20240207145455.0 000131101 0247_ $$2doi$$a10.1088/1742-5468/2013/12/P12008 000131101 0248_ $$2sideral$$a84631 000131101 037__ $$aART-2013-84631 000131101 041__ $$aeng 000131101 100__ $$0(orcid)0000-0002-2980-9685$$aSanz, Joaquín$$uUniversidad de Zaragoza 000131101 245__ $$aData reliability in complex directed networks 000131101 260__ $$c2013 000131101 5060_ $$aAccess copy available to the general public$$fUnrestricted 000131101 5203_ $$aThe 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. 000131101 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000131101 590__ $$a2.056$$b2013 000131101 591__ $$aPHYSICS, MATHEMATICAL$$b9 / 55 = 0.164$$c2013$$dQ1$$eT1 000131101 591__ $$aMECHANICS$$b19 / 139 = 0.137$$c2013$$dQ1$$eT1 000131101 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000131101 700__ $$0(orcid)0000-0002-5655-1587$$aCozzo, Emanuele$$uUniversidad de Zaragoza 000131101 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Yamir$$uUniversidad de Zaragoza 000131101 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica 000131101 773__ $$g2013, 12 (2013), P12008 [21 pp.]$$pJ. Stat. Mech.-Theory Exp.$$tJournal of Statistical Mechanics: Theory and Experiment$$x1742-5468 000131101 8564_ $$s1371641$$uhttps://zaguan.unizar.es/record/131101/files/texto_completo.pdf$$yPostprint 000131101 8564_ $$s1785575$$uhttps://zaguan.unizar.es/record/131101/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000131101 909CO $$ooai:zaguan.unizar.es:131101$$particulos$$pdriver 000131101 951__ $$a2024-02-07-14:53:41 000131101 980__ $$aARTICLE