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    Review of statistical network analysis: models, algorithms, and software

    Salter-Townshend, M. and White, A. and Gollini, Isabella and Murphy, T.B. (2012) Review of statistical network analysis: models, algorithms, and software. Statistical Analysis and Data Mining 5 (4), pp. 243-264. ISSN 1932-1872.

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    Abstract

    The analysis of network data is an area that is rapidly growing, both within and outside of the discipline of statistics. This review provides a concise summary of methods and models used in the statistical analysis of network data, including the Erdős–Renyi model, the exponential family class of network models, and recently developed latent variable models. Many of the methods and models are illustrated by application to the well-known Zachary karate dataset. Software routines available for implementing methods are emphasized throughout. The aim of this paper is to provide a review with enough detail about many common classes of network models to whet the appetite and to point the way to further reading.

    Metadata

    Item Type: Article
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Economics, Mathematics and Statistics
    Depositing User: Isabella Gollini
    Date Deposited: 03 Nov 2015 17:34
    Last Modified: 02 Aug 2019 19:35
    URI: http://eprints.bbk.ac.uk/id/eprint/13286

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