[statnet_help] [External] Re: Residual effect of prior ties

[Simon Chambers]

Hi Carter,

Thanks for your suggestion.

Am I right in my understanding that the input to edgecov (e.g. a matrix) is singular – such that there is not the capacity to include this term in a tergm in a manner which updates over time, such that successive waves get a progressively updated version of the past? As such, to the extent that it is a mechanism to model the effects of prior states, it is more suited to doing so in standard ergms where multiple edgecovs can be designed to model particular aspects of past history?

Regards, Simon.

From: statnet_help <statnet_help-bounces at mailman13.u.washington.edu> on behalf of Carter T. Butts <buttsc at uci.edu>
Date: Monday, 21 August 2023 at 6:41 pm
To: statnet_help at u.washington.edu <statnet_help at u.washington.edu>
Subject: [External] Re: [statnet_help] Residual effect of prior ties

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

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