Results 1 to 10 of about 926 (212)
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.
Qiang Wang +5 more
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International Journal of Digital Earth, 2021 The pandemic of COVID-19 witnessed a massive infodemic with the public being bombarded with vast quantities of information. The spreading of neutral and highly accurate reports can guide the public to self-protect and reduce the pandemic.
Xiaoqi Zhang +6 more
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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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Link Prediction Based on Multiplex Influential Node Identification Index MPR [PDF]
Jisuanji gongcheng, 2020 Multiplex network is a graph structure in which multiple link relations exist between nodes.When constructing similarity index,most of existing multiplex network link prediction algorithms consider only the topological attributes of a single-dimensional ...
WU Jiehua, XIONG Yunyan, ZHANG Ding, CHEN Jiazhi
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Graphlets in Multiplex Networks [PDF]
Scientific Reports, 2020 AbstractWe develop graphlet analysis for multiplex networks and discuss how this analysis can be extended to multilayer and multilevel networks as well as to graphs with node and/or link categorical attributes. The analysis has been adapted for two typical examples of multiplexes: economic trade data represented as a 957-plex network and 75 social ...
Tamara Dimitrova +2 more
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Community Detection in Multiplex Networks [PDF]
ACM Computing Surveys, 2021 A multiplex network models different modes of interaction among same-type entities. In this article, we provide a taxonomy of community detection algorithms in multiplex networks. We characterize the different algorithms based on various properties and we discuss the type of communities detected by each method. We then provide an extensive experimental
Magnani, Matteo +4 more
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Coevolution and Correlated Multiplexity in Multiplex Networks [PDF]
Physical Review Letters, 2013 5 pages, 4 figures, published in ...
Jung Yeol Kim, K.-I. Goh
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Correlation analysis of combined layers in multiplex networks based on entropy.
PLoS ONE, 2022 The interactions between layers of a multiplex network would generate new structural features, the most prominent feature being the existence of link overlaps between layers.
Dan Wang, Feng Tian, Daijun Wei
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Multiplex recurrence networks [PDF]
Physical Review E, 2018 We have introduced a novel multiplex recurrence network (MRN) approach by combining recurrence networks with the multiplex network approach in order to investigate multivariate time series. The potential use of this approach is demonstrated on coupled map lattices and a typical example from palaeobotany research.
Eroglu, D. +3 more
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Growing Multiplex Networks [PDF]
Physical Review Letters, 2013 We propose a modeling framework for growing multiplexes where a node can belong to different networks. We define new measures for multiplexes and we identify a number of relevant ingredients for modeling their evolution such as the coupling between the different layers and the arrival time distribution of nodes.
Nicosia V +3 more
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