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Weighted multiplex networks. [PDF]
PLoS ONE, 2014 One of the most important challenges in network science is to quantify the information encoded in complex network structures. Disentangling randomness from organizational principles is even more demanding when networks have a multiplex nature.
Giulia Menichetti +4 more
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Multilink communities of multiplex networks. [PDF]
PLoS ONE, 2018 Multiplex networks describe a large number of complex social, biological and transportation networks where a set of nodes is connected by links of different nature and connotation.
Raul J Mondragon +2 more
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Bond Percolation on Multiplex Networks [PDF]
Physical Review X, 2016 We present an analytical approach for bond percolation on multiplex networks and use it to determine the expected size of the giant connected component and the value of the critical bond occupation probability in these networks. We advocate the relevance
A. Hackett +4 more
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Discrimination reveals reconstructability of multiplex networks from partial observations [PDF]
Communications Physics, 2022 While the reconstruction of classic monolayer networks is a widely addressed problem, accurate reconstruction of multiplex networks is still an open challenge.
Mincheng Wu +5 more
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An information theoretic approach to link prediction in multiplex networks [PDF]
Scientific Reports, 2021 The entities of real-world networks are connected via different types of connections (i.e., layers). The task of link prediction in multiplex networks is about finding missing connections based on both intra-layer and inter-layer correlations.
Seyed Hossein Jafari +4 more
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Reconstructing Sparse Multiplex Networks with Application to Covert Networks [PDF]
Entropy, 2023 Network structure provides critical information for understanding the dynamic behavior of complex systems. However, the complete structure of real-world networks is often unavailable, thus it is crucially important to develop approaches to infer a more ...
Jin-Zhu Yu +4 more
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Multiplex networks of cortical and hippocampal neurons revealed at different timescales.
PLoS ONE, 2014 Recent studies have emphasized the importance of multiplex networks--interdependent networks with shared nodes and different types of connections--in systems primarily outside of neuroscience.
Nicholas Timme +6 more
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Diffusion Dynamics and Optimal Coupling in Multiplex Networks with Directed Layers
Physical 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
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Link prediction in real-world multiplex networks via layer reconstruction method [PDF]
Royal Society Open Science, 2020 Networks are invaluable tools to study real biological, social and technological complex systems in which connected elements form a purposeful phenomenon.
Amir Mahdi Abdolhosseini-Qomi +5 more
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Quantifying layer similarity in multiplex networks: a systematic study [PDF]
Royal Society Open Science, 2018 Computing layer similarities is an important way of characterizing multiplex networks because various static properties and dynamic processes depend on the relationships between layers.
Piotr Bródka +3 more
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