Application of hyperbolic geometry in link prediction of multiplex networks

Samei, Z and Jalili, M 2019, 'Application of hyperbolic geometry in link prediction of multiplex networks', Scientific Reports, vol. 9, no. 1, pp. 1-11.


Document type: Journal Article
Collection: Journal Articles

Title Application of hyperbolic geometry in link prediction of multiplex networks
Author(s) Samei, Z
Jalili, M
Year 2019
Journal name Scientific Reports
Volume number 9
Issue number 1
Start page 1
End page 11
Total pages 11
Publisher Nature
Abstract Recently multilayer networks are introduced to model real systems. In these models the individuals make connection in multiple layers. Transportation networks, biological systems and social networks are some examples of multilayer networks. There are various link prediction algorithms for single-layer networks and some of them have been recently extended to multilayer networks. In this manuscript, we propose a new link prediction algorithm for multiplex networks using two novel similarity metrics based on the hyperbolic distance of node pairs. We use the proposed methods to predict spurious and missing links in multiplex networks. Missing links are those links that may appear in the future evolution of the network, while spurious links are the existing connections that are unlikely to appear if the network is evolving normally. One may interpret spurious links as abnormal links in the network. We apply the proposed algorithm on real-world multiplex networks and the numerical simulations reveal its superiority than the state-of-the-art algorithms.
Subject Computer Communications Networks
Pattern Recognition and Data Mining
Keyword(s) Missing Links
Likelihood
Diffusion
DOI - identifier 10.1038/s41598-019-49001-7
Copyright notice © The Author(s) 2019. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License
ISSN 2045-2322
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