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 models. In this paper we illustrate some of the functionality of statnet through a tutorial analysis of a friendship network of 1,461 adolescents.

Categories

Add categories

Keywords

Reprint years

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 92,813

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

  • Only published works are available at libraries.

My notes

Similar books and articles

Ergm.userterms: A template package for extending statnet.D. R. Hunter, S. M. Goodreau & M. S. Handcock - unknown
ergm: A package to fit, simulate and diagnose exponential-family models for networks.M. Morris, S. M. Goodreau, C. T. Butts, M. S. Handcock & D. R. Hunter - unknown
A separable model for dynamic networks.P. N. Krivitsky & M. S. Handcock - unknown
The Tutorial History of Rome to 14 A.D. (A. H. Allcroft and W. F. Mason. Univ. Corr. Coll. Tutorial Series).R. J. G. Mayor - 1893 - The Classical Review 7 (10):471-.
Adjusting for network size and composition effects in exponential-family random graph models.P. N. Krivitsky, M. S. Handcock & M. Morris - unknown
Statistical Learning Theory: A Tutorial.Sanjeev R. Kulkarni & Gilbert Harman - 2011 - Wiley Interdisciplinary Reviews: Computational Statistics 3 (6):543-556.
A Tutorial On Causal Inference.Peter Spirtes - unknown
Education: Expectation and the Unexpected.Amanda Fulford - 2015 - Studies in Philosophy and Education 35 (4):415-425.
Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects.M. Morris, M. S. Handcock & D. R. Hunter - unknown
Computer-related links and information.Delia Graff Fara - manuscript
Local dependence in random graph models: Characterization, properties and statistical inference.M. Schweinberger & M. S. Handcock - unknown
Tutorial: Doing Bayesian Data Analysis with R and BUGS.Kruschke John - unknown
Observing Tutorial Dialogues Collaboratively: Insights About Human Tutoring Effectiveness From Vicarious Learning.Michelene T. H. Chi, Marguerite Roy & Robert G. M. Hausmann - 2008 - Cognitive Science 32 (2):301-341.
Complexity theory and models for social networks.John Skvoretz - 2002 - Complexity 8 (1):47-55.
Decreased small-world functional network connectivity and clustering across resting state networks in schizophrenia: an fMRI classification tutorial.Ariana Anderson & Mark S. Cohen - 2013 - Frontiers in Human Neuroscience 7.

Analytics

Added to PP
2017-06-12

Downloads
1 (#1,909,650)

6 months
1 (#1,507,095)

Historical graph of downloads

Sorry, there are not enough data points to plot this chart.
How can I increase my downloads?

Author's Profile

Michael Morris
University of Sussex

Citations of this work

History & Mathematics: Trends and Cycles.Leonid Grinin & Andrey Korotayev - 2014 - Volgograd: "Uchitel" Publishing House.

Add more citations

References found in this work

No references found.

Add more references