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Total communicability as a centrality measure
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Ranking hubs and authorities using matrix functions
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Complex networks: Structure and dynamics
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The physics of communicability in complex networks
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A Graph-theoretic perspective on centrality
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Eigenvector-like measures of centrality for asymmetric relations
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Protein Bipartivity and Essentiality in the Yeast Protein−Protein Interaction Network
inferredcites →https://doi.org/10.1023/a:1022362401426openalex-snapshot
Bounds for the Entries of Matrix Functions with Applications to Preconditioning
inferredcites →https://doi.org/10.1038/30918openalex-snapshot
Collective dynamics of ‘small-world’ networks
inferredcites →https://doi.org/10.1080/15427951.2012.625256openalex-snapshot
Fast Matrix Computations for Pairwise and Columnwise Commute Times and Katz Scores
inferredcites →https://doi.org/10.1086/228631openalex-snapshot
Power and Centrality: A Family of Measures
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An Information Flow Model for Conflict and Fission in Small Groups
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Spectral analysis and the dynamic response of complex networks
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Subgraph centrality in complex networks
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Communicability in complex networks
inferredcites →https://doi.org/10.1126/science.286.5439.509openalex-snapshot
Emergence of Scaling in Random Networks
inferredcites →https://doi.org/10.1137/050633846openalex-snapshot
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The Structure and Function of Complex Networks
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A centrality measure for grid street network considering sequential route choice behaviour
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Identification of top-K nodes in large networks using Katz centrality
inferred← citeshttps://doi.org/10.1209/0295-5075/108/50006openalex-snapshot
Identifying sparse and dense sub-graphs in large graphs with a fast algorithm
inferred← citeshttps://doi.org/10.1371/journal.pone.0170953openalex-snapshot
Graph-theoretical model of global human interactome reveals enhanced long-range communicability in cancer networks
inferred← citeshttps://doi.org/10.1371/journal.pone.0220061openalex-snapshot
Consistency and differences between centrality measures across distinct classes of networks
inferred← citeshttps://doi.org/10.1371/journal.pone.0271292openalex-snapshot
A QUBO formulation for top-τ eigencentrality nodes
inferred← citeshttps://doi.org/10.1371/journal.pone.0289488openalex-snapshot
A proposal for ranking through selective computation of centrality measures
inferred← citeshttps://doi.org/10.1553/etna_vol47s179openalex-snapshot
Vector estimates for f(A)b via extrapolation
inferred← citeshttps://doi.org/10.2139/ssrn.5389881openalex-snapshot
Influence and Connectivity in Networks: A Generating Function Approach
inferred← citeshttps://doi.org/10.23919/acc45564.2020.9147504openalex-snapshot
Edge Centrality Matrix: Impact of Network Modification on Gramian Controllability Metrics
inferred← citeshttps://doi.org/10.3390/a15090296openalex-snapshot
SoftNet: A Package for the Analysis of Complex Networks
inferred← citeshttps://doi.org/10.3390/appliedmath6040053openalex-snapshot
Spectral Models for Subsidy Allocation in Industrial Systems
inferred← citeshttps://doi.org/10.3390/books978-3-0365-2166-4openalex-snapshot
Numerical Linear Algebra and the Applications
inferred← citeshttps://doi.org/10.3390/math9121432openalex-snapshot
Estimating the Quadratic Form xTA−mx for Symmetric Matrices: Further Progress and Numerical Computations
inferred← citeshttps://doi.org/10.4108/eai.13-7-2018.162690openalex-snapshot
Criminal Network Community Detection Using Graphical Analytic Methods: A Survey
inferred← citeshttps://doi.org/10.4236/ojdm.2018.84008openalex-snapshot
Centrality Measures Based on Matrix Functions
inferred← citeshttps://doi.org/10.4310/joc.2023.v14.n4.a2openalex-snapshot
New results and open problems on subgraph centrality
inferred← citeshttps://doi.org/10.48550/arxiv.1503.02615openalex-snapshot
Approximation of functions of large matrices with Kronecker structure
inferred← citeshttps://doi.org/10.48550/arxiv.1503.03155openalex-snapshot
Computing Heat Kernel Pagerank and a Local Clustering Algorithm
inferred← citeshttps://doi.org/10.48550/arxiv.1509.01618openalex-snapshot
Efficient Sampling for k-Determinantal Point Processes
inferred← citeshttps://doi.org/10.48550/arxiv.1511.07305openalex-snapshot
Block Matrix Formulations for Evolving Networks
inferred← citeshttps://doi.org/10.48550/arxiv.1907.07908openalex-snapshot
Risk-dependent centrality in economic and financial networks
inferred← citeshttps://doi.org/10.48550/arxiv.2110.13747openalex-snapshot
Low, high and very-high density forms of liquid water revealed by a medium-range order descriptor
inferred← citeshttps://doi.org/10.70675/d01ba467z3da7z4567zb2a0z190649e4f78eopenalex-snapshot
An empirical analysis of systemic risk in commodity futures markets
inferred← citeshttps://doi.org/10.7554/elife.17086openalex-snapshot
A map of abstract relational knowledge in the human hippocampal–entorhinal cortex
inferred← citeshttps://doi.org/10.7554/elife.87651openalex-snapshot
Dissecting muscle synergies in the task space
inferred← citeshttps://doi.org/10.7554/elife.87651.1openalex-snapshot
Dissecting muscle synergies in the task space
inferred← citeshttps://doi.org/10.7554/elife.87651.1.sa0openalex-snapshot
Reviewer #3 (Public Review): Dissecting muscle synergies in the task space
inferred← citeshttps://doi.org/10.7554/elife.87651.1.sa1openalex-snapshot
Reviewer #2 (Public Review): Dissecting muscle synergies in the task space
inferred← citeshttps://doi.org/10.7554/elife.87651.1.sa2openalex-snapshot
Reviewer #1 (Public Review): Dissecting muscle synergies in the task space
inferred← citeshttps://doi.org/10.7554/elife.87651.1.sa3openalex-snapshot
eLife Assessment: Dissecting muscle synergies in the task space
inferred← citeshttps://doi.org/10.7554/elife.87651.2openalex-snapshot
Dissecting muscle synergies in the task space
inferred← citeshttps://doi.org/10.7554/elife.87651.3openalex-snapshot
Dissecting muscle synergies in the task space
inferred← citeshttps://doi.org/10.7554/elife.87651.4openalex-snapshot
Dissecting muscle synergies in the task space
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