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<h3><a href="../index.html">Table Of Contents</a></h3>
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<li><a class="reference internal" href="#">Assortativity</a><ul>
<li><a class="reference internal" href="#id1">Assortativity</a><ul>
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</li>
<li><a class="reference internal" href="#average-neighbor-degree">Average neighbor degree</a><ul>
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<li><a class="reference internal" href="#average-degree-connectivity">Average degree connectivity</a><ul>
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<li><a class="reference internal" href="#mixing">Mixing</a><ul>
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<div class="section" id="module-networkx.algorithms.assortativity">
<span id="assortativity"></span><h1>Assortativity<a class="headerlink" href="#module-networkx.algorithms.assortativity" title="Permalink to this headline">¶</a></h1>
<table border="1" class="longtable docutils">
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<col width="10%" />
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<div class="section" id="id1">
<h2>Assortativity<a class="headerlink" href="#id1" title="Permalink to this headline">¶</a></h2>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%" />
<col width="90%" />
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<tbody valign="top">
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.algorithms.assortativity.degree_assortativity_coefficient.html#networkx.algorithms.assortativity.degree_assortativity_coefficient" title="networkx.algorithms.assortativity.degree_assortativity_coefficient"><tt class="xref py py-obj docutils literal"><span class="pre">degree_assortativity_coefficient</span></tt></a>(G[, x, y, ...])</td>
<td>Compute degree assortativity of graph.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.algorithms.assortativity.attribute_assortativity_coefficient.html#networkx.algorithms.assortativity.attribute_assortativity_coefficient" title="networkx.algorithms.assortativity.attribute_assortativity_coefficient"><tt class="xref py py-obj docutils literal"><span class="pre">attribute_assortativity_coefficient</span></tt></a>(G, attribute)</td>
<td>Compute assortativity for node attributes.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.algorithms.assortativity.numeric_assortativity_coefficient.html#networkx.algorithms.assortativity.numeric_assortativity_coefficient" title="networkx.algorithms.assortativity.numeric_assortativity_coefficient"><tt class="xref py py-obj docutils literal"><span class="pre">numeric_assortativity_coefficient</span></tt></a>(G, attribute)</td>
<td>Compute assortativity for numerical node attributes.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.algorithms.assortativity.degree_pearson_correlation_coefficient.html#networkx.algorithms.assortativity.degree_pearson_correlation_coefficient" title="networkx.algorithms.assortativity.degree_pearson_correlation_coefficient"><tt class="xref py py-obj docutils literal"><span class="pre">degree_pearson_correlation_coefficient</span></tt></a>(G[, ...])</td>
<td>Compute degree assortativity of graph.</td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="average-neighbor-degree">
<h2>Average neighbor degree<a class="headerlink" href="#average-neighbor-degree" title="Permalink to this headline">¶</a></h2>
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<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.algorithms.assortativity.average_neighbor_degree.html#networkx.algorithms.assortativity.average_neighbor_degree" title="networkx.algorithms.assortativity.average_neighbor_degree"><tt class="xref py py-obj docutils literal"><span class="pre">average_neighbor_degree</span></tt></a>(G[, source, target, ...])</td>
<td>Returns the average degree of the neighborhood of each node.</td>
</tr>
</tbody>
</table>
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<div class="section" id="average-degree-connectivity">
<h2>Average degree connectivity<a class="headerlink" href="#average-degree-connectivity" title="Permalink to this headline">¶</a></h2>
<table border="1" class="longtable docutils">
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<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.algorithms.assortativity.average_degree_connectivity.html#networkx.algorithms.assortativity.average_degree_connectivity" title="networkx.algorithms.assortativity.average_degree_connectivity"><tt class="xref py py-obj docutils literal"><span class="pre">average_degree_connectivity</span></tt></a>(G[, source, ...])</td>
<td>Compute the average degree connectivity of graph.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.algorithms.assortativity.k_nearest_neighbors.html#networkx.algorithms.assortativity.k_nearest_neighbors" title="networkx.algorithms.assortativity.k_nearest_neighbors"><tt class="xref py py-obj docutils literal"><span class="pre">k_nearest_neighbors</span></tt></a>(G[, source, target, ...])</td>
<td>Compute the average degree connectivity of graph.</td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="mixing">
<h2>Mixing<a class="headerlink" href="#mixing" title="Permalink to this headline">¶</a></h2>
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<colgroup>
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<tbody valign="top">
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.algorithms.assortativity.attribute_mixing_matrix.html#networkx.algorithms.assortativity.attribute_mixing_matrix" title="networkx.algorithms.assortativity.attribute_mixing_matrix"><tt class="xref py py-obj docutils literal"><span class="pre">attribute_mixing_matrix</span></tt></a>(G, attribute[, ...])</td>
<td>Return mixing matrix for attribute.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.algorithms.assortativity.degree_mixing_matrix.html#networkx.algorithms.assortativity.degree_mixing_matrix" title="networkx.algorithms.assortativity.degree_mixing_matrix"><tt class="xref py py-obj docutils literal"><span class="pre">degree_mixing_matrix</span></tt></a>(G[, x, y, weight, ...])</td>
<td>Return mixing matrix for attribute.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.algorithms.assortativity.degree_mixing_dict.html#networkx.algorithms.assortativity.degree_mixing_dict" title="networkx.algorithms.assortativity.degree_mixing_dict"><tt class="xref py py-obj docutils literal"><span class="pre">degree_mixing_dict</span></tt></a>(G[, x, y, weight, nodes, ...])</td>
<td>Return dictionary representation of mixing matrix for degree.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.algorithms.assortativity.attribute_mixing_dict.html#networkx.algorithms.assortativity.attribute_mixing_dict" title="networkx.algorithms.assortativity.attribute_mixing_dict"><tt class="xref py py-obj docutils literal"><span class="pre">attribute_mixing_dict</span></tt></a>(G, attribute[, nodes, ...])</td>
<td>Return dictionary representation of mixing matrix for attribute.</td>
</tr>
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