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Hi Roy, 

I will email you about this on Wednesday 16th. I think I have been doing some stuff that is relevant to what you are trying to do. 

Cheers,

Mark.

Dr Mark Tranmer
Senior Lecturer
CCSR / Mitchell Centre for Social Network Analysis
Social Statistics
School of Social Sciences
Humanities Bridgeford Street Building
University of Manchester
Manchester 
M13 9PL 

tel.: +44 (0) 161 275 4744
fax: +44 (0) 161 275 4722

http://www.ccsr.ac.uk/staff/markhome1.htm




On 14 Nov 2011, at 18:37, Money, Roy wrote:

> *****  To join INSNA, visit http://www.insna.org  *****
> 
> I made a simiilar post to this list last month that garnered only one response so I am trying again.
> 
> I have 8 waves (at 6 month intervals) of social network data for a interdisciplinary  research consortium of  scientists where the degree centrality measure peaks at wave 4 (18 months), and the geodesic distance bottoms out at that time point.  It does seem like 18 months represents a maximum effect time for  the aggregate network data.
> 
> Previously I used UCINET to do bootstrapped t tests for particular pair-wise time comparisons but I want to characterize the longer trajectory and the apparent change in slope at 18 months.
> 
> I also have associated survey response data for which I have used a  discontinuous level-1 HLM individual growth model to test the hypothesis that the slope changes at  time 4 (18 months).
> 
> I would like to apply a similar analysis to the individual network measures of degree centrality and geodesic distance. However I have not found in my literature searches any references to the analysis of  longitudinal social network data like I am working with.
> 
> Is a multilevel or HLM analysis an appropriate method to test for quadratic or piecewise non linear change of the individual newtwork measures ?  If not, what would be optimal ways to evaluate this apparent maxing out of the connectivity of the social network about mid way through the consortium history?
> 
> Thanks for any suggestions or references.
> 
> Roy  Money
> 
> Yale University
> 
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