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    Hi Holly and all,<br>
    <br>
    if you're prepared to switch to the continuous-time framework of
    stochastic actor-oriented network models, the RSiena software offers
    a solution in which entry and exit times can be used as exogenous
    information: <br>
    <ul>
      <li>
        <div tabindex="0" class="gs_citr">Huisman, M., & Snijders,
          T. A. (2003). Statistical analysis of longitudinal network
          data with changing composition. <i>Sociological methods &
            research</i>, <i>32</i>(2), 253-287.</div>
      </li>
    </ul>
    <p>Interestingly, there is at least one published TERGM paper in
      which the networks over time are assumed to be independent
      observations of changing size, so composition change (in this
      case: network exit only) is implicitly handled as "sampling
      another independent network of different size from the same ERGM
      parameters":</p>
    <ul>
      <li>
        <div tabindex="0" class="gs_citr">Czarna, A. Z., Leifeld, P.,
          Śmieja, M., Dufner, M., & Salovey, P. (2016). Do
          narcissism and emotional intelligence win us friends? Modeling
          dynamics of peer popularity using inferential network
          analysis. <i>Personality and Social Psychology Bulletin</i>,
          <i>42</i>(11), 1588-1599.</div>
      </li>
    </ul>
    I would personally strongly recommend against taking such an
    approach, for various reasons - but then, I am not a TERGM user and
    do not know about common practice in this part of the methods
    garden. In fact, I'd be eager to read any arguments that might
    justify such an approach.<br>
    <br>
    All the best, Christian<br>
    <br>
    <br>
    <br>
    <div class="moz-cite-prefix">On 18-8-2020 6:51, Zack Almquist wrote:<br>
    </div>
    <blockquote type="cite"
cite="mid:CAMjQ9QOS_qrV0juHvTxvGNBPYDiVR9Zo5onYe=cEk3YSY+9K2w@mail.gmail.com">
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        <div>Hi Holly and Carter,<br>
        </div>
        <div><br>
        </div>
        <div><br>
        </div>
        Just to follow Carter's link, since I think my email didn't
        post.
        <div>
          <div><br>
          </div>
          <div>One approach would be to use to dnr package (<a
              href="https://cran.r-project.org/web/packages/dnr/index.html"
              target="_blank" moz-do-not-send="true">https://cran.r-project.org/web/packages/dnr/index.html</a>)
            which is based on </div>
          <div><span style="font-size:13px;font-family:Arial,sans-serif"><br>
            </span></div>
          <div><span style="font-size:13px;font-family:Arial,sans-serif">Almquist,
              Zack W., and Carter T. Butts. "Logistic network regression
              for scalable analysis of networks with joint edge/vertex
              dynamics." </span><i
              style="font-size:13px;font-family:Arial,sans-serif">Sociological
              methodology</i><span
              style="font-size:13px;font-family:Arial,sans-serif"> 44.1
              (2014): 273-321.</span></div>
          <div><span style="font-size:13px;font-family:Arial,sans-serif"><br>
            </span></div>
          <div><span style="font-size:13px;font-family:Arial,sans-serif">and</span></div>
          <div><span style="font-size:13px;font-family:Arial,sans-serif"><br>
            </span></div>
          <div><span style="font-family:Arial,sans-serif;font-size:13px">Mallik,
              Abhirup, and Zack W. Almquist. "Stable Multiple Time Step
              Simulation/Prediction From Lagged Dynamic Network
              Regression Models." </span><i
              style="font-family:Arial,sans-serif;font-size:13px">Journal
              of Computational and Graphical Statistics</i><span
              style="font-family:Arial,sans-serif;font-size:13px"> 28.4
              (2019): 967-979.</span><span
              style="font-size:13px;font-family:Arial,sans-serif"><br>
            </span></div>
          <div><span style="font-size:13px;font-family:Arial,sans-serif"><br>
            </span></div>
          <div><span style="font-size:13px;font-family:Arial,sans-serif">Best,</span></div>
          <div><br>
          </div>
          <div>Zack</div>
          <div>
            <div dir="ltr" class="gmail_signature"
              data-smartmail="gmail_signature">
              <div dir="ltr">
                <div>---</div>
                <div>Zack W. Almquist</div>
                <div>Assistant Professor</div>
                <div>Department of Sociology</div>
                <div>Senior Data Scientist Fellow, eScience Institute</div>
                <div>University of Washington</div>
              </div>
            </div>
          </div>
          <br>
        </div>
      </div>
      <br>
      <div class="gmail_quote">
        <div dir="ltr" class="gmail_attr">On Mon, Aug 17, 2020 at 9:46
          PM Carter T. Butts <<a href="mailto:buttsc@uci.edu"
            moz-do-not-send="true">buttsc@uci.edu</a>> wrote:<br>
        </div>
        <blockquote class="gmail_quote" style="margin:0px 0px 0px
          0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
          <div>
            <p>Hi, Holly -</p>
            <p>This can certainly be done, although it requires a
              non-trivial extension of the modeling framework.  One
              treatment can be found here: <a
                href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4479214/"
                target="_blank" moz-do-not-send="true">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4479214/</a> 
              <br>
            </p>
            <p>Hope that helps!</p>
            <p>-Carter<br>
            </p>
            <div>On 8/17/20 12:46 PM, Holly Loncarich wrote:<br>
            </div>
            <blockquote type="cite">
              <div dir="auto">
                <p
style="margin:0in;font-size:11pt;font-family:calibri,sans-serif;color:rgb(255,255,255);background-color:rgb(20,20,20)">Hello,</p>
                <p
style="margin:0in;font-size:11pt;font-family:calibri,sans-serif;color:rgb(255,255,255);background-color:rgb(20,20,20)">I
                  hope that everyone is having a good start to their
                  semester! I am attempting to use a TERGM over a time
                  period of five years on a strategic alliance dataset.
                  I was wondering if anyone has any advice or could
                  point me to any resources on handling node entry and
                  exit in the TERGM analysis? I am very new to TERGMs
                  and would appreciate any thoughts or comments. </p>
                <p
style="margin:0in;font-size:11pt;font-family:calibri,sans-serif;color:rgb(255,255,255);background-color:rgb(20,20,20)"><br>
                </p>
                <p
style="margin:0in;font-size:11pt;font-family:calibri,sans-serif;color:rgb(255,255,255);background-color:rgb(20,20,20)">Thank
                  you,</p>
                <p
style="margin:0in;font-size:11pt;font-family:calibri,sans-serif;color:rgb(255,255,255);background-color:rgb(20,20,20)">Holly</p>
                <p
style="margin:0in;font-size:11pt;font-family:calibri,sans-serif;color:rgb(255,255,255);background-color:rgb(20,20,20)"> </p>
                <p
style="margin:0in;font-size:11pt;font-family:calibri,sans-serif;color:rgb(255,255,255);background-color:rgb(20,20,20)"> </p>
                <p
style="margin:0in;font-size:11pt;font-family:calibri,sans-serif;color:rgb(255,255,255);background-color:rgb(20,20,20)">Holly
                  Loncarich</p>
                <p
style="margin:0in;font-size:11pt;font-family:calibri,sans-serif;color:rgb(255,255,255);background-color:rgb(20,20,20)">PhD
                  Candidate</p>
                <p
style="margin:0in;font-size:11pt;font-family:calibri,sans-serif;color:rgb(255,255,255);background-color:rgb(20,20,20)">Walton
                  College of Business</p>
                <p
style="margin:0in;font-size:11pt;font-family:calibri,sans-serif;color:rgb(255,255,255);background-color:rgb(20,20,20)">University
                  of Arkansas</p>
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      <b>Interuniversity Centre for Social Science Theory &
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      Department of Sociology, Grote Rozenstraat 31, NL-9712 TG
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