Results 41 to 50 of about 4,687,284 (299)
Machine Learning Assisted Chimera and Solitary States in Networks
Frontiers in Physics, 2021 Chimera and Solitary states have captivated scientists and engineers due to their peculiar dynamical states corresponding to co-existence of coherent and incoherent dynamical evolution in coupled units in various natural and artificial systems.
Niraj Kushwaha +6 more
doaj +1 more source
Fast Attributed Multiplex Heterogeneous Network Embedding
, 2020 In recent years, heterogeneous network representation learning has attracted considerable attentions with the consideration of multiple node types. However, most of them ignore the rich set of network attributes (attributed network) and different types ...
Liu, Zhijun +9 more
core +1 more source
1. Contact survey data for the static-temporal multiplex network.
, 2023 2. Static-Temporal Multiplex Network. 3. SARS-CoV-2 Transmission model. 4. Calibration. 5. The Test-Trace-Isolate strategy. 6. Reactive distancing policy. (DOCX)
Kun Zhang (108291) +7 more
core +1 more source
Analysis of Multiplex Social Networks with R [PDF]
, 2021 Multiplex social networks are characterized by a common set of actors connected through multiple types of relations. The multinet package provides a set of R functions to analyze multiplex social networks within the more general framework of multilayer ...
Vega, Davide, +8 more
core +1 more source
Centrality in earthquake multiplex networks
Chaos: 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
Analytical results of the k-core pruning process on multiplex networks
Frontiers in Physics, 2022 Multiplex networks are generally considered as networks that have the same set of vertices but different types of edges. Multiplex networks are especially useful when describing systems with several kinds of interactions.
Rui-Jie Wu +3 more
doaj +1 more source
Spreading of memes on multiplex networks
New Journal of Physics, 2019 A model for the spreading of online information or "memes" on multiplex networks is introduced and analyzed using branching-process methods. The model generalizes that of [Gleeson et al., Phys.Rev. X., 2016] in two ways. First, even for a monoplex (single-layer) network, the model is defined for any specific network defined by its adjacency matrix ...
Joseph D O’Brien +2 more
openaire +6 more sources
Bandit Sampling for Multiplex Networks
CoRR, 2022 Graph neural networks have gained prominence due to their excellent performance in many classification and prediction tasks. In particular, they are used for node classification and link prediction which have a wide range of applications in social networks, biomedical data sets, and financial transaction graphs.
Cenk Baykal +3 more
openaire +2 more sources
Analysis of Iran Banking Sector by Multi-Layer Approach [PDF]
Iranian Journal of Finance, 2019 Networks are useful tools for presenting the relationships between financial institutions. During the previous years, many scholars have found that using single-layer networks cannot properly characterize and explain complex systems.
Ali Namaki +3 more
doaj +1 more source
A novel method detecting controversial interaction in the multiplex social comment network
Frontiers in Physics, 2023 With the rise of online social media, users from across the world can participate in opinion formation processes, and some discussions lead to controversial debates around this phenomenon.
Zihan Li +7 more
doaj +1 more source