Graph-based network analysis of resting-state fMRI: test-retest reliability of binarized and weighted networks
Sign Up to like & getrecommendations! 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… read more here.
Keywords: network; functional networks; weighted networks; brain functional ... See more keywords
A small set of critical hyper-motifs governs heterogeneous flow-weighted network resilience
Sign Up to like & getrecommendations! Published in 2025 at "Nature Communications"
DOI: 10.1038/s41467-025-63001-4
Abstract: Flow-weighted networks are widespread in real-world systems, capturing the essence of flow interactions among various entities. Examples are food webs, social networks, transportation systems, and financial transactions. These networks are vulnerable to degradation when subjected… read more here.
Keywords: weighted networks; flow weighted; network; hyper motifs ... See more keywords
Adaptive rewiring evolves brain-like structure in weighted networks
Sign Up to like & getrecommendations! 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:… read more here.
Keywords: weighted networks; rewiring evolves; modular centralized; adaptive rewiring ... See more keywords
Synchronization and equitable partitions in weighted networks.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: equitable partitions; literature; weighted networks; synchronization equitable ... See more keywords
Resilience of weighted networks with dynamical behavior against multi-node removal.
Sign Up to like & getrecommendations! Published in 2024 at "Chaos"
DOI: 10.1063/5.0214032
Abstract: In many real-world networks, interactions between nodes are weighted to reflect their strength, such as predator-prey interactions in the ecological network and passenger numbers in airline networks. These weighted networks are prone to cascading effects… read more here.
Keywords: system; weighted networks; resilience weighted; dynamical system ... See more keywords
Erratum: Estimating topological properties of weighted networks from limited information [Phys. Rev. E 92, 040802(R) (2015)].
Sign Up to like & getrecommendations! Published in 2018 at "Physical Review E"
DOI: 10.1103/physreve.97.059904
Abstract: This corrects the article DOI: 10.1103/PhysRevE.92.040802. read more here.
Keywords: erratum estimating; estimating topological; networks limited; weighted networks ... See more keywords
The Grand Canonical ensemble of weighted networks
Sign Up to like & getrecommendations! 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… read more here.
Keywords: ensemble weighted; grand canonical; canonical ensemble; weighted networks ... See more keywords
A Hypothesis Testing for Large Weighted Networks With Applications to Functional Neuroimaging Data
Sign Up to like & getrecommendations! 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… read more here.
Keywords: networks applications; hypothesis testing; weighted networks; large weighted ... See more keywords
Hierarchical Prescribed-Time Coordination for Multiple Lagrangian Systems With Input-to-Output Redundancy and Matrix-Weighted Networks
Sign Up to like & getrecommendations! 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… read more here.
Keywords: time coordination; weighted networks; multiple lagrangian; prescribed time ... See more keywords
Topology Identification of Weighted Networks Via Binary Time Series From Propagation Dynamics
Sign Up to like & getrecommendations! 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… read more here.
Keywords: topology; weighted networks; time series; topology identification ... See more keywords
Geometric Renormalization Reveals the Self-Similarity of Weighted Networks
Sign Up to like & getrecommendations! 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… read more here.
Keywords: self similarity; weighted networks; framework; geometric renormalization ... See more keywords