Results 21 to 30 of about 4,687,284 (299)
Layer Communities in Multiplex Networks [PDF]
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.
Ta-Chu Kao, Mason A. Porter
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Optimal Resonances in Multiplex Neural Networks Driven by an STDP Learning Rule
In this paper, we numerically investigate two distinct phenomena, coherence resonance (CR) and self-induced stochastic resonance (SISR), in multiplex neural networks in the presence of spike-timing-dependent plasticity (STDP).
Marius E. Yamakou +5 more
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Four actual multiplex network node connection data.
Four actual multiplex network node connection data.
Daijun Wei (14026344) +2 more
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Adaptive Quantized Synchronization of Fractional-Order Output-Coupling Multiplex Networks
This paper is devoted to investigating the synchronization of fractional-order output-coupling multiplex networks (FOOCMNs). Firstly, a type of fractional-order multiplex network is introduced, where the intra-layer coupling and the inter-layer coupling ...
Yunzhan Bai, Juan Yu, Cheng Hu
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The Suppression of Epidemic Spreading Through Minimum Dominating Set
COVID-19 has infected millions of people, with deaths in more than 200 countries. It is therefore essential to understand the dynamic characteristics of the outbreak and to design effective strategies to restrain the large-scale spread of the epidemic ...
Jie Wang +6 more
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Percolation in multiplex networks with overlap [PDF]
From transportation networks to complex infrastructures, and to social and communication networks, a large variety of systems can be described in terms of multiplexes formed by a set of nodes interacting through different networks (layers). Multiplexes may display an increased fragility with respect to the single layers that constitute them.
Cellai, Davide +4 more
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LPGRI: A Global Relevance-Based Link Prediction Approach for Multiplex Networks
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 Interactions between Layers in Duplex Networks Using Interactive Entropy [PDF]
The multiplex network has attracted wide attention because it can better describe the various relationships in the real world, and the duplex network is a special two-layer form of it. The purpose of this research focuses on introducing new entropy-based
Ronda J. Zhang, Fred Y. Ye
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(15 pages, 6 figures)Many complex systems can be described as multiplex networks in which the same nodes can interact with one another in different layers, thus forming a set of interacting and co-evolving networks. Examples of such multiplex systems are
Raúl J Mondragón +11 more
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Multiplex network analysis: Cooperation and Friendship networks
We analyze – using stochastic actor-oriented modeling and longitudinal network data – multiplex selection ...
Carlos A. de Matos Fernandes
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