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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:
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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