[statnet_help] Residual effect of prior ties

[Carter T. Butts]

Hi, Simon -

It may be useful to remember that you can define any lag effect of any 
complexity, or with any mix of prior states, using one or more 
appropriately designed edgecov terms.  The past is always a covariate to 
the present, as thus are functions of the past history.

Hope that helps,

-Carter

On 8/20/23 8:08 PM, Simon Chambers wrote:

>

> Hello,

>

> I was hoping to understand if statnet’s temporal network tools have 

> any capacity to model a residual effect of prior tie formation beyond 

> the immediately preceding network.

>

> i.e. if a dyad had an edge at t1, which was then not present at t2, 

> the likelihood of a tie at t3 may be influenced by the presence of an 

> edge at t1 – some networks may exhibit an increased likelihood 

> (intermittent associations not necessarily reoccurring at the 

> intervals represented by the panel data) whereas others may be less 

> likely (once a tie is dissolved, it is less likely to re-form).

>

> Thanks, Simon.

>

> --

>

> *Dr Simon Chambers* | Postdoctoral Research Fellow

>

> The MARCS Institute

>

> Western Sydney University

>

> M: +61 477 333 818

>

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