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2011-03-16

handcock_et_al_2008_journal

CITATION: Handcock, Mark, S., David R. Hunter, Carter T. Butts, Steven M. Goodreau, and Martina Morris. 2008. "statnet: Software Tools for the Representation, Visualization, Analysis, and Simulation of Network Data." Journal of Statistical Software 24(1): 1-11.

AUTHOR_1: Mark S. Handcock
AUTHOR_2: David R. Hunter
AUTHOR_3: Carter T. Butts
AUTHOR_4: Steven M. Goodreau
AUTHOR_5: Martina Morris
YEAR: 2008
TITLE: statnet: Software Tools for the Representation, Visualization, Analysis, and Simulation of Network Data
SOURCE: journal
SOURCE_TITLE: Journal of Statistical Software

SUMMARY: Authors introduce statnet, a package written for R that enables researchers to conduct a variety of analyses of networks with dyadic dependence using ERGMs (exponential random graph models). The basic differences between network data and models and other types of data or modeling, such as linear regression on independent observations, are discussed. An overview of statnet, including brief descriptions of dependent packages also included in the statnet install package is given. Lastly, a concise overview of the principles underlying ERGM-based network modeling helps the novice network modeler to better understand the need for ERGM, potential causes of model degeneracy, and how the ergm package in statnet can help them to diagnose and address these issues through model re-specification.

REVIEWED BY: jrh

LABELS_FULL: 2008, jrh, reviewed, journal, statnet, ergm, R, software, methodology, p*, degeneracy, specification, generative models, overview

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