[statnet_help] TERGM model analysis problem valued edges

[Mark S. Handcock via statnet_help]

Hi Federico,

The separable model uses the binary nature of the network in a 
fundamental way. If the edges have weights/values then a new 
separability assumption is needed, and this will generally not be as 
elegant as that for binary edges.

This, however, has been done by Yik Lun Kei, a former student of mine:

"A partially separable model for dynamic valued networks"
(https://www.sciencedirect.com/science/article/abs/pii/S0167947323001226).

and he has code on GitHub.

Best,

Mark

----------------------------------------------------
Mark S. Handcock
Distinguished Professor of Statistics
Department of Statistics and Data Science
University of California
Los Angeles, CA 90095-1554.
Web: https://faculty.stat.ucla.edu/handcock
email: handcock at stat.ucla.edu <mailto:handcock at stat.ucla.edu>



On 7/20/24 1:52 PM, Martina Morris via statnet_help wrote:

> Hi Federico,

>

> I think some types of valued tie terms are possible in tergm.  Tergms 

> are implemented by specifying one or more ergms (how many depends on 

> how many of the operators you're using (cross, change, form, 

> diss/persist)).  So the valued terms that are available in ergm may be 

> used in this context.

>

> But Pavel is the expert on all things valued, so he should chime in here.

>

> best,

> Martina

>

> On Thu, Jul 18, 2024 at 7:46 AM Federico Salvati via statnet_help 

> <statnet_help at u.washington.edu> wrote:

>

>     Dear statnet team,

>

>

>     I am a PhD student in Berlin and I mostly do text mining but I am

>     approaching Network analysis for my project.

>

>     I am having problems applying the TERGM model to my data. I have a

>     dynamic network dataset but I really would like to have a weighted

>     value for edges and not just a binary value.

>

>     Can this be done with the package? I am not sure how to

>     approach the problem

>

>

>     Sorry if the question might be silly I am approaching SNA for the

>     first time and I am learning on my own so I am not quite

>     proficient with it yet

>

>     Best

>

>     Federico Salvati

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>     statnet_help at u.washington.edu

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>

>

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