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Published in 2020 at "Asian Journal of Control"
DOI: 10.1002/asjc.2483
Abstract: Decentralized stochastic gradient methods play significant roles in large‐scale optimization that finds many practical applications in machine learning and coordinated control. This paper studies optimization problems over unbalanced directed networks, where the mutual goal of…
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Keywords:
gradient;
unbalanced directed;
nesterov gradient;
optimization ... See more keywords
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Published in 2018 at "Applied Network Science"
DOI: 10.1007/s41109-018-0076-1
Abstract: New betweenness centralities of nodes in a directed network are proposed based on the idea that nodes in a network are processes rather than things. They are called input and output betweenness centralities. They measure…
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Keywords:
input output;
directed networks;
output betweenness;
betweenness ... See more keywords
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Published in 2020 at "Applied Network Science"
DOI: 10.1007/s41109-020-00293-z
Abstract: Clustering is an essential technique for network analysis, with applications in a diverse range of fields. Although spectral clustering is a popular and effective method, it fails to consider higher-order structure and can perform poorly…
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Keywords:
spectral clustering;
based spectral;
directed networks;
clustering weighted ... See more keywords
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Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.11.022
Abstract: Abstract In this paper, we consider the cluster consensus problem in delayed directed networks where agents are described by second-order discrete-time dynamics. Unlike first order systems, delay is shown to lead to instability in second…
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Keywords:
second order;
directed networks;
order;
cluster consensus ... See more keywords
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Published in 2018 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.05.079
Abstract: Abstract The problem of network disintegration, which aims at identifying the critical nodes or edges whose removal will lead to a network collapse, has attracted much attention due to its wide applications. This paper focuses…
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Keywords:
directed networks;
disintegration;
tabu search;
based tabu ... See more keywords
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Published in 2018 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.08.137
Abstract: Abstract We describe a method to construct directed networks from multivariate time series which has several advantages over the widely accepted methods. This method is based on an information theoretic reduction of linear (auto-regressive) models. The…
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Keywords:
directed networks;
proposed method;
time series;
method ... See more keywords
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Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-24363-7
Abstract: Cluster synchronization in networks of coupled oscillators is the subject of broad interest from the scientific community, with applications ranging from neural to social and animal networks and technological systems. Most of these networks are…
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Keywords:
cluster synchronization;
directed networks;
synchronization;
one way ... See more keywords
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Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-02976-8
Abstract: Motivated by the problem of detection of cascades of defaults in economy, we developed a detection framework for an endogenous spreading based on causal motifs we define in this paper. We assume that the change…
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Keywords:
causal motifs;
motifs existence;
endogenous cascades;
cascades directed ... See more keywords
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Published in 2020 at "Iet Control Theory and Applications"
DOI: 10.1049/iet-cta.2019.0377
Abstract: In this study, the authors propose a distributed discrete-time algorithm for unconstrained optimisation with event-triggered communication over weight-balanced directed networks. They consider a multi-agent system where each agent has a state and an auxiliary variable…
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Keywords:
directed networks;
weight balanced;
algorithm unconstrained;
balanced directed ... See more keywords
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Published in 2019 at "ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering"
DOI: 10.1061/ajrua6.0001017
Abstract: AbstractMany civil infrastructure systems that deliver resources from source points to sinks, e.g., power distribution and gas pipeline networks, can be described as acyclic directed networks compr...
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Keywords:
method reliability;
directed networks;
probability propagation;
propagation method ... See more keywords
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Published in 2022 at "Chaos"
DOI: 10.1063/5.0087855
Abstract: Reaction-diffusion processes organized in networks have attracted much interest in recent years due to their applications across a wide range of disciplines. As one type of most studied solutions of reaction-diffusion systems, patterns broadly exist…
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Keywords:
topology;
wave patterns;
reaction;
directed networks ... See more keywords