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Published in 2019 at "Brain Imaging and Behavior"
DOI: 10.1007/s11682-019-00042-6
Abstract: In the past decade, resting-state functional magnetic resonance imaging (rs-fMRI) and graph-based measures have been widely used to quantitatively characterize the architectures of brain functional networks in healthy individuals and in patients with abnormalities related…
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Keywords:
network;
functional networks;
weighted networks;
brain functional ... See more keywords
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-62204-7
Abstract: Activity-dependent plasticity refers to a range of mechanisms for adaptively reshaping neuronal connections. We model their common principle in terms of adaptive rewiring of network connectivity, while representing neural activity by diffusion on the network:…
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Keywords:
weighted networks;
rewiring evolves;
modular centralized;
adaptive rewiring ... See more keywords
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Published in 2018 at "Chaos"
DOI: 10.1063/1.4997385
Abstract: The work presented in this paper has two purposes. One is to expose that the coupled cell network formalism of Golubitsky, Stewart, and collaborators accommodates in a natural way the weighted networks, that is, graphs…
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Keywords:
equitable partitions;
literature;
weighted networks;
synchronization equitable ... See more keywords
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Published in 2018 at "Physical Review E"
DOI: 10.1103/physreve.97.059904
Abstract: This corrects the article DOI: 10.1103/PhysRevE.92.040802.
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Keywords:
erratum estimating;
estimating topological;
networks limited;
weighted networks ... See more keywords
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Published in 2019 at "Physical review. E"
DOI: 10.1103/physreve.99.030301
Abstract: The cornerstone of statistical mechanics of complex networks is the idea that the links, and not the nodes, are the effective particles of the system. Here, we formulate a mapping between weighted networks and lattice…
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Keywords:
ensemble weighted;
grand canonical;
canonical ensemble;
weighted networks ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3032391
Abstract: Neuroimaging techniques have been routinely applied in various studies in neuroscience, which contribute to providing novel insights into brain functions. One of the most important and challenging questions related to data collected from such studies…
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Keywords:
networks applications;
hypothesis testing;
weighted networks;
large weighted ... See more keywords
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Published in 2023 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3208189
Abstract: This paper investigates the prescribed-time coordination problem for multiple Lagrangian systems (MLSs) in the presence of input-to-state redundancy, uncertain dynamic terms, and external disturbances. Moreover, the interdependencies among multiple Lagrangian plants with multi-dimensional states are…
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Keywords:
time coordination;
weighted networks;
multiple lagrangian;
prescribed time ... See more keywords
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Published in 2023 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3125360
Abstract: This study focuses on a topology identification problem of weighted networks with different connection strength, where binary time series generated by propagation dynamics are utilized. An influence probability matrix reflecting the weight of connection is…
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Keywords:
topology;
weighted networks;
time series;
topology identification ... See more keywords
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Published in 2023 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2022.3164975
Abstract: The geometric renormalization (GR) group of complex networks based on hidden metric space provides a powerful framework for studying the self-similarity of networks. Recent studies have shown that this framework can significantly reduce the size…
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Keywords:
self similarity;
weighted networks;
framework;
geometric renormalization ... See more keywords
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Published in 2020 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2019.2926193
Abstract: Disconnecting impaired or suspicious nodes and rewiring to those reliable, adaptive networks have the potential to inhibit cascading failures, such as DDoS attack and computer virus. The weights of disconnected links, indicating the workload of…
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Keywords:
cascading failures;
adaptive weighted;
weighted networks;
model ... See more keywords
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Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3176816
Abstract: As one of the most important issues in data mining and network science, the community detection problem has been extensively investigated during the past decades. Despite of the success achieved by existing methods, how to…
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Keywords:
weighted networks;
significant communities;
community;
mining statistically ... See more keywords