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Arthur White

Biographic Data

ID4164010
NAMEArthur White
GIVEN NAMESArthur
FAMILY NAMEWhite
SIGNATUREWHITE A
AFFILIATIONSTrinity College Dublin
ORCID0000-0002-7268-5163
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS5
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Contextualizing the research problem

    Emma Howard, Arthur White et al.•ARTICLE•International Journal of Research…•2026

    Cluster analysis is widely used in educational settings to gain insights into student learning. To justify their choice of clustering approach, authors often draw on methods used in earlier studies that they perceive to be similar. This can sometimes come at the expense of selecting a clustering method better suited to addressing their own study’s goals. We argue that the selection of an appropriate clustering method should be closely connected t…

  • Comparisons of disease cluster patterns, prevalence and health factors in the USA, Canada, England and Ireland

    Open Access•Belinda Hernandez, Stacey Voll et al.•ARTICLE•BMC Public Health•2021

    This information can be used to better understand the complex nature of multimorbidity and identify appropriate prevention and management strategies for treating multimorbidity across countries

  • Weather and rail delays

    Open Access•William Brazil, Arthur White et al.•ARTICLE•Journal of Transport Geography•2017•Cited by: 1

  • Mixed-membership of experts stochastic blockmodel

    Open Access•Arthur White, Thomas Brendan Murphy•ARTICLE•Network Science•2015•Cited by: 4•References: 12

    Social network analysis is the study of how links between a set of actors are formed. Typically, it is believed that links are formed in a structured manner, which may be due to, for example, political or material incentives, and which often may not be directly observable. The stochastic blockmodel represents this structure using latent groups which exhibit different connective properties, so that conditional on the group membership of two actors…

  • Mixed-membership of experts stochastic blockmodel

    Open Access•Arthur White, Thomas Brendan Murphy•ARTICLE•Network Science•2015•Cited by: 4•References: 12

    Social network analysis is the study of how links between a set of actors are formed. Typically, it is believed that links are formed in a structured manner, which may be due to, for example, political or material incentives, and which often may not be directly observable. The stochastic blockmodel represents this structure using latent groups which exhibit different connective properties, so that conditional on the group membership of two actors…

  • Weather and rail delays

    Open Access•William Brazil, Arthur White et al.•ARTICLE•Journal of Transport Geography•2017•Cited by: 1

  • Mixed-membership of experts stochastic blockmodel

    Open Access•Arthur White, Thomas Brendan Murphy•ARTICLE•Network Science•2015•Cited by: 4•References: 12

    Social network analysis is the study of how links between a set of actors are formed. Typically, it is believed that links are formed in a structured manner, which may be due to, for example, political or material incentives, and which often may not be directly observable. The stochastic blockmodel represents this structure using latent groups which exhibit different connective properties, so that conditional on the group membership of two actors…

  • Weather and rail delays

    Open Access•William Brazil, Arthur White et al.•ARTICLE•Journal of Transport Geography•2017•Cited by: 1

  • Comparisons of disease cluster patterns, prevalence and health factors in the USA, Canada, England and Ireland

    Open Access•Belinda Hernandez, Stacey Voll et al.•ARTICLE•BMC Public Health•2021

    This information can be used to better understand the complex nature of multimorbidity and identify appropriate prevention and management strategies for treating multimorbidity across countries

  • Contextualizing the research problem

    Emma Howard, Arthur White et al.•ARTICLE•International Journal of Research…•2026

    Cluster analysis is widely used in educational settings to gain insights into student learning. To justify their choice of clustering approach, authors often draw on methods used in earlier studies that they perceive to be similar. This can sometimes come at the expense of selecting a clustering method better suited to addressing their own study’s goals. We argue that the selection of an appropriate clustering method should be closely connected t…

Computer Science (2 works) · Adverse weather (1 work) · Artificial Intelligence (1 work) · Biostatistics (1 work) · Chronic Disease Management Strategies (1 work) · Climate change (1 work) · Cluster (spacecraft (1 work) · Cluster grouping (1 work) · Complex Network Analysis Techniques (1 work) · Computational and Text Analysis Methods (1 work)

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