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A Social Network Analysis of Articles on Social Network Analysis

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A Social Network Analysis of Articles on Social Network Analysis. / Lee, Clement; Wilkinson, Darren J.
2018.

Research output: Other contribution

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@misc{76c51dedb4874343809f4bbef0030406,
title = "A Social Network Analysis of Articles on Social Network Analysis",
abstract = "A collection of articles on the statistical modelling and inference of social networks is analysed in a network fashion. The references of these articles are used to construct a citation network data set, which is almost a directed acyclic graph because only existing articles can be cited. A mixed membership stochastic block model is then applied to this data set to soft cluster the articles. The results obtained from a Gibbs sampler give us insights into the influence and the categorisation of these articles.",
author = "Clement Lee and Wilkinson, {Darren J.}",
year = "2018",
month = oct,
day = "23",
language = "English",
type = "Other",

}

RIS

TY - GEN

T1 - A Social Network Analysis of Articles on Social Network Analysis

AU - Lee, Clement

AU - Wilkinson, Darren J.

PY - 2018/10/23

Y1 - 2018/10/23

N2 - A collection of articles on the statistical modelling and inference of social networks is analysed in a network fashion. The references of these articles are used to construct a citation network data set, which is almost a directed acyclic graph because only existing articles can be cited. A mixed membership stochastic block model is then applied to this data set to soft cluster the articles. The results obtained from a Gibbs sampler give us insights into the influence and the categorisation of these articles.

AB - A collection of articles on the statistical modelling and inference of social networks is analysed in a network fashion. The references of these articles are used to construct a citation network data set, which is almost a directed acyclic graph because only existing articles can be cited. A mixed membership stochastic block model is then applied to this data set to soft cluster the articles. The results obtained from a Gibbs sampler give us insights into the influence and the categorisation of these articles.

M3 - Other contribution

ER -