Salter-Townshend, MichaelMichaelSalter-TownshendWhite, ArthurArthurWhiteGollini, IsabellaIsabellaGolliniMurphy, Thomas BrendanThomas BrendanMurphy2012-08-172012-08-172012 Wiley2012-08Statistical Analysis and Data Mininghttp://hdl.handle.net/10197/3753The 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.708682 bytesapplication/pdfenSocial network analysisBlock modelsERGMLatent space modelMixed membership stochastic blockmodelErdős-RenyiSocial networks--Statistical methodsRandom graphsLatent structure analysisCluster analysisJournal Article5424326410.1002/sam.11146https://creativecommons.org/licenses/by-nc-sa/1.0/