Results 1 to 10 of about 527 (68)

Cooperation on Interdependent Networks by Means of Migration and Stochastic Imitation

Entropy, 2020
Evolutionary game theory in the realm of network science appeals to a lot of research communities, as it constitutes a popular theoretical framework for studying the evolution of cooperation in social dilemmas.
Sayantan Nag Chowdhury, Matjaz Perc, Maja Duh   +2 more
exaly   +3 more sources

Physical Realizations of Interdependent Networks: Analogy to Percolation

Entropy
Percolation on interdependent networks generalizes the well-studied percolation model in a single network to multiple interacting systems, unveiling spontaneous cascading failures, abrupt collapses, and high vulnerability.
Shlomo Havlin, Bnaya Gross, Havlin Shlomo   +2 more
exaly   +3 more sources

Leveraging asynchronous federated learning to predict customers financial distress

Intelligent Systems with Applications, 2022
In recent years, as economic stability is shaking, and the unemployment rate is growing high due to the COVID-19 effect, assigning credit scoring by predicting consumers’ financial conditions has become more crucial. The conventional machine learning (ML)
Ahmed Imteaj, M. Hadi Amini
doaj   +1 more source

FedPARL: Client Activity and Resource-Oriented Lightweight Federated Learning Model for Resource-Constrained Heterogeneous IoT Environment

Frontiers in Communications and Networks, 2021
Federated Learning (FL) is a recently invented distributed machine learning technique that allows available network clients to perform model training at the edge, rather than sharing it with a centralized server.
Ahmed Imteaj, Ahmed Imteaj, M. Hadi Amini, M. Hadi Amini   +3 more
doaj   +1 more source

Analysis on Cascading Failures of Directed–Undirected Interdependent Networks with Different Coupling Patterns

Entropy, 2023
Most existing studies model interdependent networks as simple network systems consisting of two or more undirected subnets, and the interdependent edges between the networks are undirected.
Xiaojie Xu, Xiuwen Fu
doaj   +1 more source

The Robustness of Interdependent Directed Networks With Intra-layer Angular Correlations

Frontiers in Physics, 2021
The robustness of interdependent networks is a frontier topic in current network science. A line of studies has so far been investigated in the perspective of correlated structures on robustness, such as degree correlations and geometric correlations in ...
Zongning Wu, Zengru Di, Ying Fan
doaj   +1 more source

Interdependent Networks: A Data Science Perspective

Patterns, 2020
Summary: Traditionally, networks have been studied in an independent fashion. With the emergence of novel smart city technologies, coupling among networks has been strengthened.
M. Hadi Amini, Ahmed Imteaj, Panos M. Pardalos   +2 more
doaj   +1 more source

Multiple phase transitions in ER edge-coupled interdependent networks

New Journal of Physics, 2022
Considering the real-world scenarios that there are interactions between edges in different networks and each network has different topological structure and size, we introduce a model of interdependent networks with arbitrary edge-coupling strength, in ...
Yanli Gao, Jun Liu, Haiwei He, Jie Zhou, Shiming Chen   +4 more
doaj   +1 more source

Optimization of robustness of interdependent network controllability by redundant design. [PDF]

PLoS ONE, 2018
Controllability of complex networks has been a hot topic in recent years. Real networks regarded as interdependent networks are always coupled together by multiple networks.
Zenghu Zhang, Yongfeng Yin, Xin Zhang, Lijun Liu   +3 more
doaj   +1 more source

The Robustness of Interdependent Networks With Traffic Loads and Dependency Groups

IEEE Access, 2020
Existing researches on cascading failures of interdependent networks are mainly based on the percolation theory and do not consider the influence of dynamic load propagation and dependency groups.
Lin Zhou, Xiaogang Qi, Lifang Liu
doaj   +1 more source