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Nelson Antunes

Biographic Data

ID3925565
NAMENelson Antunes
GIVEN NAMESNelson
FAMILY NAMEAntunes
SIGNATUREANTUNES N
AFFILIATIONSUniversity of Algarve
ORCID0000-0001-6071-1099
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Representation, ranking and bias of minorities in sampling attributed networks

    Open Access•Nelson Antunes, Sayan Banerjee et al.•ARTICLE•Social Network Analysis and Mining•2024

  • Sampling methods and estimation of triangle count distributions in large networks

    Open Access•Nelson Antunes, Tianjian Guo et al.•ARTICLE•Network Science•2021•Cited by: 1

    This paper investigates the distributions of triangle counts per vertex and edge, as a means for network description, analysis, model building, and other tasks. The main interest is in estimating these distributions through sampling, especially for large networks. A novel sampling method tailored for the estimation analysis is proposed, with three sampling designs motivated by several network access scenarios. An estimation method based on invers…

  • Sampling methods and estimation of triangle count distributions in large networks

    Open Access•Nelson Antunes, Tianjian Guo et al.•ARTICLE•Network Science•2021•Cited by: 1

    This paper investigates the distributions of triangle counts per vertex and edge, as a means for network description, analysis, model building, and other tasks. The main interest is in estimating these distributions through sampling, especially for large networks. A novel sampling method tailored for the estimation analysis is proposed, with three sampling designs motivated by several network access scenarios. An estimation method based on invers…

  • Sampling methods and estimation of triangle count distributions in large networks

    Open Access•Nelson Antunes, Tianjian Guo et al.•ARTICLE•Network Science•2021•Cited by: 1

    This paper investigates the distributions of triangle counts per vertex and edge, as a means for network description, analysis, model building, and other tasks. The main interest is in estimating these distributions through sampling, especially for large networks. A novel sampling method tailored for the estimation analysis is proposed, with three sampling designs motivated by several network access scenarios. An estimation method based on invers…

  • Representation, ranking and bias of minorities in sampling attributed networks

    Open Access•Nelson Antunes, Sayan Banerjee et al.•ARTICLE•Social Network Analysis and Mining•2024

Complex Network Analysis Techniques (2 works) · Computer Science (2 works) · Mathematics (2 works) · Statistics (2 works) · Advanced Graph Neural Networks (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Combinatorics (1 work) · Computer vision (1 work) · Data mining (1 work)

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