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<p>Hi, Longxia Huo -</p>
<p>OLS network regression coefficients (as obtained e.g., from
netlm) can be interpreted in the same fashion as any other linear
regression coefficients - they are, in fact, exactly equivalent to
vectorizing the dependent network and regressing it on the
vectorized versions of the independent networks. So, in that
regard, effect sizes and such have their usual linear meanings
(provided that one interprets them in terms of edge variables, and
sticks to descriptive statements - some inferential ones can also
be justified, but beware of anything that requires an independence
assumption). By turns, the QAP null hypothesis tests are just
that (tests), and you would not want to use QAP quantiles as a
proxy for effect sizes, or otherwise compare them across models.
(At least, not without some guiding theory, and I'm not aware of
anything apposite.)</p>
<p>Hope that helps!</p>
<p>-Carter<br>
</p>
On 6/22/22 12:28 AM, 霍龙霞 wrote:<br>
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<p class="MsoNormal" style="color: rgb(49, 53, 59);
line-height: 22.4px;"><span lang="EN-US"><font
face="georgia, serif">Hi all,</font></span></p>
<p class="MsoNormal" style="color: rgb(49, 53, 59);
line-height: 22.4px;"><font face="georgia, serif"><span
lang="EN-US">I have a question relating to
MR-QAP coefficient. </span>I have two different
undirected collaborative networks: N1(35*35) and
N2(41*41). And I want to run MR-QAP to (1) examine
factors predicting collaboration (homophily,
sender effect, and transitivity; the model
specification are same); (2) explore the relative
contribution of above effects within network; (3)
and compare the strength of certain effect across
QAPs (e.g. is the homophily effect in N1 stronger
than N2). For the goal(3), Could I compare the
standardized coefficient of N1 model and N2 model?</font></p>
<p class="MsoNormal" style="color: rgb(49, 53, 59);
line-height: 22.4px;"><span lang="EN-US"><font
face="georgia, serif">Thank you!</font></span></p>
<p class="MsoNormal" style="color: rgb(49, 53, 59);
line-height: 22.4px;"><span lang="EN-US"><font
face="georgia, serif">Best,</font></span></p>
<p class="MsoNormal" style="color: rgb(49, 53, 59);
line-height: 22.4px;"><span lang="EN-US"><font
face="georgia, serif">Longxia Huo</font></span></p>
<p class="MsoNormal" style="color: rgb(49, 53, 59);
line-height: 22.4px;"><span lang="EN-US"><font
face="georgia, serif">Ph.D. Student</font></span></p>
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