Review of Statistical Network Analysis: Models, Algorithms, and Software

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dc.contributor.author Salter-Townshend, Michael
dc.contributor.author White, Arthur
dc.contributor.author Gollini, Isabella
dc.contributor.author Murphy, Thomas Brendan
dc.date.accessioned 2012-08-17T16:25:41Z
dc.date.available 2012-08-17T16:25:41Z
dc.date.copyright 2012 Wiley Periodicals, Inc en
dc.date.issued 2012-08
dc.identifier.citation Statistical Analysis and Data Mining en
dc.identifier.uri http://hdl.handle.net/10197/3753
dc.description.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 Erdos–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. en
dc.description.sponsorship Science Foundation Ireland en
dc.format.extent 708682 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Wiley-Blackwell en
dc.relation.requires CASL Research Collection en
dc.relation.requires Clique Research Collection en
dc.subject Social network analysis en
dc.subject Block models en
dc.subject ERGM en
dc.subject Latent space model en
dc.subject Mixed membership stochastic blockmodel en
dc.subject Erdős-Renyi en
dc.subject.lcsh Social networks--Statistical methods en
dc.subject.lcsh Random graphs en
dc.subject.lcsh Latent structure analysis en
dc.subject.lcsh Cluster analysis en
dc.title Review of Statistical Network Analysis: Models, Algorithms, and Software en
dc.type Journal Article en
dc.internal.availability Full text available en
dc.status Peer reviewed en
dc.identifier.volume 5 en
dc.identifier.issue 4 en
dc.identifier.startpage 243 en
dc.identifier.endpage 264 en
dc.identifier.doi 10.1002/sam.11146
dc.neeo.contributor Salter-Townshend|Michael|aut| en
dc.neeo.contributor White|Arthur|aut| en
dc.neeo.contributor Gollini|Isabella|aut| en
dc.neeo.contributor Murphy|Thomas Brendan|aut| en


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