000099274 001__ 99274 000099274 005__ 20251113150202.0 000099274 0247_ $$2doi$$a10.1103/PhysRevResearch.2.042029 000099274 0248_ $$2sideral$$a122604 000099274 037__ $$aART-2020-122604 000099274 041__ $$aeng 000099274 100__ $$0(orcid)0000-0002-1192-8707$$aAleta, A. 000099274 245__ $$aLink prediction in multiplex networks via triadic closure 000099274 260__ $$c2020 000099274 5060_ $$aAccess copy available to the general public$$fUnrestricted 000099274 5203_ $$aLink prediction algorithms can help to understand the structure and dynamics of complex systems, to reconstruct networks from incomplete data sets, and to forecast future interactions in evolving networks. Available algorithms based on similarity between nodes are bounded by the limited amount of links present in these networks. In this Rapid Communication, we reduce this latter intrinsic limitation and show that different kinds of relational data can be exploited to improve the prediction of new links. To this aim, we propose a link prediction algorithm by generalizing the Adamic-Adar method to multiplex networks composed by an arbitrary number of layers, that encode diverse forms of interactions. We show that this metric outperforms the classical single-layered Adamic-Adar score and other state-of-the-art methods, across several social, biological, and technological systems. As a by-product, the coefficients that maximize the multiplex Adamic-Adar metric indicate how the information structured in a multiplex network can be optimized for the link prediction task, revealing which layers are redundant. Interestingly, this effect can be asymmetric with respect to predictions in different layers. Our work paves the way for a deeper understanding of the role of different relational data in predicting new interactions and provides another algorithm for link prediction in multiplex networks that can be applied to a plethora of systems. 000099274 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/E36-20R$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/FIS2017-87519-P 000099274 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es 000099274 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000099274 700__ $$aTuninetti, M. 000099274 700__ $$aPaolotti, D. 000099274 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Y.$$uUniversidad de Zaragoza 000099274 700__ $$aStarnini, M. 000099274 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica 000099274 773__ $$g2, 4 (2020), 042029 [6 pp.]$$pPhys. rev. res.$$tPhysical Review Research$$x2643-1564 000099274 8564_ $$s1427267$$uhttps://zaguan.unizar.es/record/99274/files/texto_completo.pdf$$yVersión publicada 000099274 8564_ $$s3140982$$uhttps://zaguan.unizar.es/record/99274/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000099274 909CO $$ooai:zaguan.unizar.es:99274$$particulos$$pdriver 000099274 951__ $$a2025-11-13-15:00:39 000099274 980__ $$aARTICLE