Results 41 to 50 of about 88,768 (171)

Layer Communities in Multiplex Networks [PDF]

open access: yesJournal of Statistical Physics, 2017
Multiplex networks are a type of multilayer network in which entities are connected to each other via multiple types of connections. We propose a method, based on computing pairwise similarities between layers and then doing community detection, for grouping structurally similar layers in multiplex networks.
Kao, Ta-Chu, Porter, Mason A.
openaire   +2 more sources

The Multiplex Dependency Structure of Financial Markets

open access: yesComplexity, 2017
We propose here a multiplex network approach to investigate simultaneously different types of dependency in complex datasets. In particular, we consider multiplex networks made of four layers corresponding, respectively, to linear, nonlinear, tail, and ...
Nicolò Musmeci   +4 more
doaj   +1 more source

A multi-objective genetic algorithm to find active modules in multiplex biological networks.

open access: yesPLoS Computational Biology, 2021
The identification of subnetworks of interest-or active modules-by integrating biological networks with molecular profiles is a key resource to inform on the processes perturbed in different cellular conditions. We here propose MOGAMUN, a Multi-Objective
Elva María Novoa-Del-Toro   +6 more
doaj   +1 more source

Optimal Disintegration Strategy in Multiplex Networks under Layer Node-Based Attack

open access: yesApplied Sciences, 2019
From social networks to complex infrastructures, many systems could be described by multiplex networks formed by a set of nodes connected via more than one type of links. Network disintegration, which is the problem of identifying a set of nodes or edges
Mingze Qi   +4 more
doaj   +1 more source

Similarity matrix average for aggregating multiplex networks

open access: yesJournal of Physics: Complexity, 2023
We introduce a methodology based on averaging similarity matrices with the aim of integrating the layers of a multiplex network into a single monoplex network.
Federica Baccini   +2 more
doaj   +1 more source

Centrality in earthquake multiplex networks

open access: yesChaos: An Interdisciplinary Journal of Nonlinear Science, 2018
Seismic time series has been mapped as a complex network, where a geographical region is divided into square cells that represent the nodes and connections are defined according to the sequence of earthquakes. In this paper, we map a seismic time series to a temporal network, described by a multiplex network, and characterize the evolution of the ...
Nastaran Lotfi   +2 more
openaire   +3 more sources

Pattern formation in multiplex networks [PDF]

open access: yesScientific Reports, 2015
AbstractThe advances in understanding complex networks have generated increasing interest in dynamical processes occurring on them. Pattern formation in activator-inhibitor systems has been studied in networks, revealing differences from the classical continuous media. Here we study pattern formation in a new framework, namely multiplex networks. These
Kouvaris, Nikos E.   +2 more
openaire   +4 more sources

Diffusion Dynamics and Optimal Coupling in Multiplex Networks with Directed Layers

open access: yesPhysical Review X, 2018
Multiplex networks have been intensively studied during the last few years as they offer a more realistic representation of many interdependent and multilevel complex networked systems.
Alejandro Tejedor   +4 more
doaj   +1 more source

Functional Integration and Segregation in Multiplex Brain Networks for Alzheimer's Disease

open access: yesFrontiers in Neuroscience, 2020
Growing evidence links impairment of brain functions in Alzheimer's disease (AD) with disruptions of brain functional connectivity. However, whether the AD brain shows similar changes from a dynamic or cross-frequency view remains poorly explored.
Lihui Cai   +7 more
doaj   +1 more source

Multiplex flows in citation networks [PDF]

open access: yesApplied Network Science, 2017
Knowledge is created and transmitted through generations, and innovation is often seen as a process generated from collective intelligence. There is rising interest in studying how innovation emerges from the blending of accumulated knowledge, and from which path an innovation mostly inherits.
Benjamin Renoust   +2 more
openaire   +3 more sources

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