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<item>
  <id>01587407</id>
  <dt>j</dt>
  <an>01587407</an>
  <augroup>
    <au>Reidys, Christian M.</au>
  </augroup>
  <ti>Random structures.</ti>
  <so>Ann. Comb. 4, No.3-4, 375-382 (2000).</so>
  <py>2000</py>
  <pu>Birkh\"auser Verlag (Springer), Basel</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>connectivity</ut>
    <ut>branching process</ut>
    <ut>random structure</ut>
    <ut>random graphs</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/PL00001286</li>
  </ligroup>
  <abgroup>
    <ab>Summary: A random structure, $s_n$, consists of (i) a random contact graph $X$ with vertex set $\{1,\dots, n\}$ and (ii) a multi-set of binary relations over the finite set ${\cal A}$, associated with the edges of $X$. The $X$-edges are the union of the edge sets of two random graphs, $X_1$ and $X_2$. $X_1$ is a random partial one factor graph over the vertices $\{\ell_{i_1},\dots, \ell_{i_{2m}}\}$ and has edge set $\{y_1,\dots, y_m\}$. $X_2$ has vertex set $\{1,\dots, n\}$ and is obtained by selecting the edges of $K_n\setminus\{y_1,\dots, y_m\}$ with independent probability $p= c_2/n$, $c_2>0$. This paper provides a probabilistic analysis of the contact graphs of random structures and puts the results into context with the evolutionary optimization of biopolymers.</ab>
    <rv></rv>
  </abgroup>
</item>