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Statistical modelling of the group structure of social networks

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Statistical modelling of the group structure of social networks. / Aitkin, Murray; Vu, Duy; Francis, Brian.
In: Social Networks, Vol. 38, 07.2014, p. 74-87.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Aitkin, M, Vu, D & Francis, B 2014, 'Statistical modelling of the group structure of social networks', Social Networks, vol. 38, pp. 74-87. https://doi.org/10.1016/j.socnet.2014.03.002

APA

Aitkin, M., Vu, D., & Francis, B. (2014). Statistical modelling of the group structure of social networks. Social Networks, 38, 74-87. https://doi.org/10.1016/j.socnet.2014.03.002

Vancouver

Aitkin M, Vu D, Francis B. Statistical modelling of the group structure of social networks. Social Networks. 2014 Jul;38:74-87. Epub 2014 Apr 2. doi: 10.1016/j.socnet.2014.03.002

Author

Aitkin, Murray ; Vu, Duy ; Francis, Brian. / Statistical modelling of the group structure of social networks. In: Social Networks. 2014 ; Vol. 38. pp. 74-87.

Bibtex

@article{1b6726c086c343f8b62d5238e29f7b16,
title = "Statistical modelling of the group structure of social networks",
abstract = "This research evaluates the identification of group structure in social networks through the latent class model and a new Bayesian model comparison method for the number of latent classes. The approach is applied to a well-known network of women in Natchez Mississippi. The latent class analysis reproduces the group structure of the women identified by the original sociologists.",
keywords = "social groups, Latent class model, two mode network, natchez women, bayesian model comparison",
author = "Murray Aitkin and Duy Vu and Brian Francis",
year = "2014",
month = jul,
doi = "10.1016/j.socnet.2014.03.002",
language = "English",
volume = "38",
pages = "74--87",
journal = "Social Networks",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Statistical modelling of the group structure of social networks

AU - Aitkin, Murray

AU - Vu, Duy

AU - Francis, Brian

PY - 2014/7

Y1 - 2014/7

N2 - This research evaluates the identification of group structure in social networks through the latent class model and a new Bayesian model comparison method for the number of latent classes. The approach is applied to a well-known network of women in Natchez Mississippi. The latent class analysis reproduces the group structure of the women identified by the original sociologists.

AB - This research evaluates the identification of group structure in social networks through the latent class model and a new Bayesian model comparison method for the number of latent classes. The approach is applied to a well-known network of women in Natchez Mississippi. The latent class analysis reproduces the group structure of the women identified by the original sociologists.

KW - social groups

KW - Latent class model

KW - two mode network

KW - natchez women

KW - bayesian model comparison

U2 - 10.1016/j.socnet.2014.03.002

DO - 10.1016/j.socnet.2014.03.002

M3 - Journal article

VL - 38

SP - 74

EP - 87

JO - Social Networks

JF - Social Networks

ER -