Results 61 to 70 of about 31,372 (281)
Observability transition in multiplex networks [PDF]
, 2017 We extend the observability model to multiplex networks. We present mathematical frameworks, valid under the treelike ansatz, able to describe the emergence of the macroscopic cluster of mutually observable nodes in both synthetic and real-world ...
Osat, Saeed, Radicchi, Filippo
core +1 more source
A multi-objective genetic algorithm to find active modules in multiplex biological networks.
PLoS 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
Structural measures for multiplex networks [PDF]
Physical Review E, 2014 16 pages, 11 figures, 3 tables -- Was "Metrics for the analysis of multiplex networks" -- Final version published in Phys.
Battiston F +2 more
openaire +4 more sources
Optimal Disintegration Strategy in Multiplex Networks under Layer Node-Based Attack
Applied 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
Journal 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
Multiplex flows in citation networks [PDF]
Applied 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
Structured Latent Space Models for Multiplex Networks [PDF]
, 2023 Network data arises in fields such as neuroimaging, sociology, and medicine, to represent pairwise connections (edges) between units (nodes), or the interconnected behavior of a complex system.
MacDonald, Peter
core +1 more source
Multiplexity-facilitated cascades in networks [PDF]
Physical Review E, 2012 Elements of networks interact in many ways, so modeling them with graphs requires multiple types of edges (or network layers). Here we show that such multiplex networks are generically more vulnerable to global cascades than simplex networks. We generalize the threshold cascade model [D. J. Watts, Proc. Natl. Acad. Sci. U.S.A.
Brummitt, Charles D. +2 more
openaire +3 more sources
Functional Integration and Segregation in Multiplex Brain Networks for Alzheimer's Disease
Frontiers 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
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source