Results 21 to 30 of about 88,768 (171)
Coevolution and Correlated Multiplexity in Multiplex Networks [PDF]
Physical Review Letters, 2013 5 pages, 4 figures, published in ...
Kim, Jung Yeol, Goh, K. -I.
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LPGRI: A Global Relevance-Based Link Prediction Approach for Multiplex Networks
Mathematics, 2023 The individuals of real-world networks participate in various types of connections, each forming a layer in multiplex networks. Link prediction is an important problem in multiplex network analysis owing to its wide range of practical applications, such ...
Chunning Wang +2 more
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Quantifying dynamical spillover in co-evolving multiplex networks [PDF]
, 2015 Multiplex networks (a system of multiple networks that have different types of links but share a common set of nodes) arise naturally in a wide spectrum of fields. Theoretical studies show that in such multiplex networks, correlated edge dynamics between
D'Souza, Raissa M. +3 more
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On limitations of uniplex networks for modeling multiplex contagion.
PLoS ONE, 2023 Many network contagion processes are inherently multiplex in nature, yet are often reduced to processes on uniplex networks in analytic practice. We therefore examine how data modeling choices can affect the predictions of contagion processes.
Nicholas W Landry, Jimi Adams
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Analysis of Multiplex Social Networks with R
Journal of Statistical Software, 2021 Multiplex social networks are characterized by a common set of actors connected through multiple types of relations. The multinet package provides a set of R functions to analyze multiplex social networks within the more general framework of multilayer ...
Matteo Magnani, Luca Rossi, Davide Vega
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Multiplex network infomax: Multiplex network embedding via information fusion
Digital Communications and Networks, 2023 For networking of big data applications, an essential issue is how to represent networks in vector space for further mining and analysis tasks, e.g., node classification, clustering, link prediction, and visualization. Most existing studies on this subject mainly concentrate on monoplex networks considering a single type of relation among nodes ...
Qiang Wang +5 more
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Extracting information from multiplex networks [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2016 Multiplex networks are generalized network structures that are able to describe networks in which the same set of nodes are connected by links that have different connotations. Multiplex networks are ubiquitous since they describe social, financial, engineering, and biological networks as well.
Iacovacci, J, Bianconi, G
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Finite connected components in infinite directed and multiplex networks with arbitrary degree distributions [PDF]
, 2017 This work presents exact expressions for size distributions of weak/multilayer connected components in two generalisations of the configuration model: networks with directed edges and multiplex networks with arbitrary number of layers.
Kryven, I.
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Prediction of scientific collaborations through multiplex interaction networks [PDF]
, 2020 Link prediction algorithms can help to understand the structure and dynamics of scientific collaborations and the evolution of Science. However, available algorithms based on similarity between nodes of collaboration networks are bounded by the limited ...
Aleta, Alberto +4 more
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Algorithmic Complexity of Multiplex Networks [PDF]
Physical Review X, 2020 28 pages, 17 figures, 3 ...
Andrea Santoro, Vincenzo Nicosia
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