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SOCIAL NETWORK ANALYSIS
General information about social network analysis can be found at
the web site of INSNA,
the International Network of Social Network Analysis.
Note the following links:
- A recorded introductory online workshop about the Stochastic Actor-oriented Model
and the RSiena package is taught by me, and available online at
https://instats.org/seminar/longitudinal-social-network-analysis.
It is an on-demand workshop, which you can follow at your own time and at your own pace.
It consists of 18 recorded sessions of 45 minutes each.
- The SIENA website where you can find the
SIENA program for the statistical
analysis of longitudinal social network data
by the Stochastic Actor-oriented Model.
- StOCNET
which is an open software system for the advanced statistical analysis of social networks
containing six R packages:
manynet provides many fundamental tools for working with (making, modifying, visualising) many
types, formats, and classes of networks;
migraph for analysis and modelling of multimodal, multilevel, and multilayer networks;
goldfish offers tools for applying statistical models to network/relational event data,
time-stamped sequences of interactions or affiliations between actors or entities within a network;
RSiena for the statistical
analysis of longitudinal social network data
by the Stochastic Actor-oriented Model;
MoNAn implements the method to analyse weighted mobility networks or
distribution networks as outlined in Block et al (Social Networks, 2022);
ERPM for estimating exponential random graph models (ERGMs) for partitions,
i.e., sets of non-overlapping groups.
- Some preprints and reprints of my papers on social
network analysis can be found at my list of publications and abstracts
-
Martin van der Gaag has an interesting webpage on the measurement of social
capital.
- The Journal of Social Structure, an on-line journal
about Social Networks.
-
MelNet is a Melbourne-based consortium of universities
expert in social network analysis (SNA) and the home of the
pnet program.
- The
statnet website has a lot of material on statnet, which is an R package
for the analysis, simulation and visualization of network data.
- A website with an interesting collection of papers about a wide diversity of topics in this field is
https://www.sciencedirect.com/topics/social-sciences/social-network-analysis.
- A lot can be learnt from Steve
Borgatti's Instructional Social Network Analysis Website.
- Steve also directs the
LINKS Center devoted to the study and optimization of social networks in organizations.
- Robert Hanneman and Mark Riddle have a free online
introductory textbook on social network analysis (2005),
Introduction to social network methods.
-
On the Skyeome.net page of Skye Bender-Demoll,
you will find a lot of interesting material
on a wide variety of network topics.
You can here get some information about the following statistical methods
for social network analysis, and download the associated
computer programs:
- program SIENA,
Simulation Investigation for Empirical Network Analysis,
for the statistical analysis of the
evolution of entire social networks, based on data consisting of two
or more repeated measurements of the network;
this program started with
Snijders (2001),
and the general description is given at
Snijders (2017).
- program BLOCKS,
for stochastic block modeling for undirected, directed and
valued graphs.
- program ZO, for analysis of
graphs with given degrees, or if you wish,
0-1 matrices with given marginals;
- program SNOWBALL,
for estimation of the size of a (hidden) population from a
one-wave snowball sample.
The program BLOCKS is a program for stochastic block modeling,
based on Snijders
and Nowicki (1997) and
Nowicki and Snijders
(JASA, 2001).
The method is based on Gibbs sampling, which is one of the many methods of
Markov chain Monte Carlo. Therefore it is rather time-consuming.
This program can be used for undirected as well as directed graphs,
but also for undirected or directed valued graphs
(where you could think of 3 to 6 values).
The program is written in Delphi, for use under Windows.
The current version is 1.8 (June 2007).
BLOCKS can be executed from the
StOCNET
environment, but also as a stand-alone program.
This method was applied, e.g., in
Downloads:
ZO (for Zero-One) is a collection of programs for the analysis
of 0-1 matrices with given marginal sums.
Special attention is given to matrices with a structurally
zero diagonal, which represent graphs (if symmetric) or
directed graphs (if not symmetric).
These programs can be used for the statistical analysis of
graphs and directed graphs according to the distributions
known in the social network literature as the
U|{Xi+} , the U|{Xi+},{X+i} ,
and the U|{Xi+},{X+i},M distributions.
The programs in ZO
implement the methods published in the articles
For related articles, also see
- An application:
Bonacich, Ph., Oliver, A., and Snijders, T.A.B.,
Controlling for size in centrality scores.
Social Networks, 20 (1998), 135-141.
- Another simulation method:
A.R. Rao, R. Jana, and S. Bandyopadhyay (1996).
A Markov chain Monte Carlo method for generating random (0,1) matrices
with given marginals.
Sankhya ser. A 58, 225-242.
- A review of some simulation methods:
John M. Roberts, jr. (2000). Simple methods for simulating
sociomatrices with given marginal totals.
Social Networks 22, 273-283.
Downloads:
The program SNOWBALL computes estimates of the size of a population
(this method is intended to be used for so-called hidden populations)
according to the methods proposed in
O. Frank & T.A.B. Snijders (1994).
Estimating the size of hidden populations using snowball sampling
Journal of Official Statistics 10, 53-67.
The program is written in Turbo Pascal, and was compiled using Delphi.
You can download a zipped collection of files:
The included text file README.TXT,
gives the basic information for executing this program.
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