A statnet tutorial

Steven M. Goodreau; Mark S. Handcock; David R. Hunter; Carter T. Butts; Martina Morris

doi:10.18637/jss.v024.i09

A statnet tutorial

Steven M. Goodreau, Mark S. Handcock, David R. Hunter, Carter T. Butts, Martina Morris

Research output: Contribution to journal › Article › peer-review

174 Scopus citations

Abstract

The statnet suite of R packages contains a wide range of functionality for the statistical analysis of social networks, including the implementation of exponential-family random graph (ERG) models. In this paper we illustrate some of the functionality of statnet through a tutorial analysis of a friendship network of 1,461 adolescents.

Original language	English (US)
Journal	Journal of Statistical Software
Volume	24
Issue number	9
DOIs	https://doi.org/10.18637/jss.v024.i09
State	Published - Feb 2008

All Science Journal Classification (ASJC) codes

Software
Statistics and Probability
Statistics, Probability and Uncertainty

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10.18637/jss.v024.i09

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title = "A statnet tutorial",

abstract = "The statnet suite of R packages contains a wide range of functionality for the statistical analysis of social networks, including the implementation of exponential-family random graph (ERG) models. In this paper we illustrate some of the functionality of statnet through a tutorial analysis of a friendship network of 1,461 adolescents.",

author = "Goodreau, {Steven M.} and Handcock, {Mark S.} and Hunter, {David R.} and Butts, {Carter T.} and Martina Morris",

year = "2008",

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doi = "10.18637/jss.v024.i09",

language = "English (US)",

volume = "24",

journal = "Journal of Statistical Software",

issn = "1548-7660",

publisher = "University of California at Los Angeles",

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AU - Goodreau, Steven M.

AU - Handcock, Mark S.

AU - Hunter, David R.

AU - Butts, Carter T.

AU - Morris, Martina

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Y1 - 2008/2

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AB - The statnet suite of R packages contains a wide range of functionality for the statistical analysis of social networks, including the implementation of exponential-family random graph (ERG) models. In this paper we illustrate some of the functionality of statnet through a tutorial analysis of a friendship network of 1,461 adolescents.

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DO - 10.18637/jss.v024.i09

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SN - 1548-7660

VL - 24

JO - Journal of Statistical Software

JF - Journal of Statistical Software

IS - 9

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A statnet tutorial

Abstract

All Science Journal Classification (ASJC) codes

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