[statnet_help] Residual effect of prior ties

[Leifeld, Philip]

Hi Simon,

You can do this with a TERGM using the btergm package (which is not part of statnet but builds on it).

See parameter K in Equation 2 and the "lag" arguments of the model terms in Table 2 in the JStatSoft paper<https://doi.org/10.18637/jss.v083.i06>.

There are two caveats: There are not many temporal model terms in the package (e.g., there are delayed reciprocity and dyadic stability, but no triadic closure over three time periods), and the first K networks in the sequence are used for forming covariates and hence cannot be on the left-hand side of the equation (see Section 5.4, "Temporal dependencies and the treatment of initial networks" in the JStatSoft paper<https://doi.org/10.18637/jss.v083.i06>).

Best regards,

Philip

--
Philip Leifeld
Professor, Department of Government
University of Essex
https://www.philipleifeld.com



On 21/08/2023 04:08, Simon Chambers wrote:

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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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