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 Faculties and Schools > Faculty of Business and Law > Birkbeck Business School |
| Depositing User: | Isabella Gollini |
| Date Deposited: | 03 Nov 2015 17:34 |
| Last Modified: | 02 Aug 2023 17:19 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/13286 |
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