***** To join INSNA, visit http://www.insna.org ***** You could consider doing the quadratic assignment procedure (QAP) proposed by Krackhardt (1987).
***** To join INSNA, visit http://www.insna.org *****
We are working with two small 17 members networks and need to run the following statistical tests.
1. Compare various network statistics of each network with itself over time (3-4 cross sections)
2. Compare the two networks with each other over time.
For this I am referring to Snijders and Borgatti note on Non-Parametric Standard Errors and Tests for Network Statistics in Connections. So my questions are:
Is there any other statistical literature that pertains to precisely such statistical tests?
Is there any software package to compute the network statistics (centrality, core/periphery, and many others), compute the (boostrap and/or jacknife) estimators of standard errors and spit out the t-test results?
If not, has anyone written code to do all this in one go? Preferably in SAS?
UCINET does compare densities but nothing else -- and the SPAN package by James Moody does not have any core-periphery measures that I can append with some matrix manipulations for computing the SEs myself.
Are there some features in existing software packages that can be indirectly used to do what we want?
thanks very much,
Management Information Systems
Faculty of Business Administration
Simon Fraser University
Burnaby, BC, Canada
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.