deploy: fbc88e9

index.html

@@ -81,7 +81,7 @@
 <p>— Donate any amount to the project! Click the button below to donate to our PayPal account:</p>
 <a class="sl-link-button not-content primary astro-xwgiixxa" href="https://www.paypal.com/donate/?hosted_button_id=XFADB253W6HFC">  Donate <svg aria-hidden="true" class="astro-xwgiixxa astro-c6vsoqas" width="16" height="16" viewBox="0 0 24 24" fill="currentColor" style="--sl-icon-size: 1.5rem;"><path d="M19.33 10.18a1 1 0 0 1-.77 0 1 1 0 0 1-.62-.93l.01-1.83-8.2 8.2a1 1 0 0 1-1.41-1.42l8.2-8.2H14.7a1 1 0 0 1 0-2h4.25a1 1 0 0 1 1 1v4.25a1 1 0 0 1-.62.93Z"/><path d="M11 4a1 1 0 1 1 0 2H7a1 1 0 0 0-1 1v10a1 1 0 0 0 1 1h10a1 1 0 0 0 1-1v-4a1 1 0 1 1 2 0v4a3 3 0 0 1-3 3H7a3 3 0 0 1-3-3V7a3 3 0 0 1 3-3h4Z"/></svg>  </a> 
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-</ul><p>Thank you for using and contributing to SocNetV!</p><p><strong>Have fun with social network analysis!</strong></p><hr><h2 id="at-a-glance">At a glance 👀</h2><p>Explore the nice features of SocNetV to make your social network research real fun!</p><div class="card-grid stagger astro-zntqmydn"><article class="card sl-flex astro-v5tidmuc"> <p class="title sl-flex astro-v5tidmuc"> <svg aria-hidden="true" class="icon astro-v5tidmuc astro-c6vsoqas" width="16" height="16" viewBox="0 0 24 24" fill="currentColor" style="--sl-icon-size: 1.333em;"><path d="M21.17 2.06A13.1 13.1 0 0 0 19 1.87a12.94 12.94 0 0 0-7 2.05 12.94 12.94 0 0 0-7-2 13.1 13.1 0 0 0-2.17.19 1 1 0 0 0-.83 1v12a1 1 0 0 0 1.17 1 10.9 10.9 0 0 1 8.25 1.91l.12.07h.11a.91.91 0 0 0 .7 0h.11l.12-.07A10.899 10.899 0 0 1 20.83 16 1 1 0 0 0 22 15V3a1 1 0 0 0-.83-.94ZM11 15.35a12.87 12.87 0 0 0-6-1.48H4v-10c.333-.02.667-.02 1 0a10.86 10.86 0 0 1 6 1.8v9.68Zm9-1.44h-1a12.87 12.87 0 0 0-6 1.48V5.67a10.86 10.86 0 0 1 6-1.8c.333-.02.667-.02 1 0v10.04Zm1.17 4.15a13.098 13.098 0 0 0-2.17-.19 12.94 12.94 0 0 0-7 2.05 12.94 12.94 0 0 0-7-2.05c-.727.003-1.453.066-2.17.19A1 1 0 0 0 2 19.21a1 1 0 0 0 1.17.79 10.9 10.9 0 0 1 8.25 1.91 1 1 0 0 0 1.16 0A10.9 10.9 0 0 1 20.83 20a1 1 0 0 0 1.17-.79 1 1 0 0 0-.83-1.15Z"/></svg>  <span class="astro-v5tidmuc">Easy User Interface</span> </p> <div class="body astro-v5tidmuc"><p>Navigate yourself and use the application either with the mouse or the keyboard.</p></div> </article> <article class="card sl-flex astro-v5tidmuc"> <p class="title sl-flex astro-v5tidmuc"> <svg aria-hidden="true" class="icon astro-v5tidmuc astro-c6vsoqas" width="16" height="16" viewBox="0 0 24 24" fill="currentColor" style="--sl-icon-size: 1.333em;"><path d="M22 7.24a1 1 0 0 0-.29-.71l-4.24-4.24a1 1 0 0 0-1.1-.22 1 1 0 0 0-.32.22l-2.83 2.83L2.29 16.05a1 1 0 0 0-.29.71V21a1 1 0 0 0 1 1h4.24a1 1 0 0 0 .76-.29l10.87-10.93L21.71 8c.1-.1.17-.2.22-.33a1 1 0 0 0 0-.24v-.14l.07-.05ZM6.83 20H4v-2.83l9.93-9.93 2.83 2.83L6.83 20ZM18.17 8.66l-2.83-2.83 1.42-1.41 2.82 2.82-1.41 1.42Z"/></svg>  <span class="astro-v5tidmuc">File Formats</span> </p> <div class="body astro-v5tidmuc"><i class="fa fa-file-code-o" aria-hidden="true"></i><p><p>Load and save to GraphML, but you can also import most network file formats (GML, Pajek,
+</ul><p>Thank you for using and contributing to SocNetV!</p><p><strong>Have fun with social network analysis!</strong></p><hr><h2 id="at-a-glance">At a glance 👀</h2><p>Explore the nice features of SocNetV to make your social network research real fun!</p><div class="card-grid stagger astro-zntqmydn"><article class="card sl-flex astro-v5tidmuc"> <p class="title sl-flex astro-v5tidmuc"> <svg aria-hidden="true" class="icon astro-v5tidmuc astro-c6vsoqas" width="16" height="16" viewBox="0 0 24 24" fill="currentColor" style="--sl-icon-size: 1.333em;"><path d="M21.17 2.06A13.1 13.1 0 0 0 19 1.87a12.94 12.94 0 0 0-7 2.05 12.94 12.94 0 0 0-7-2 13.1 13.1 0 0 0-2.17.19 1 1 0 0 0-.83 1v12a1 1 0 0 0 1.17 1 10.9 10.9 0 0 1 8.25 1.91l.12.07h.11a.91.91 0 0 0 .7 0h.11l.12-.07A10.899 10.899 0 0 1 20.83 16 1 1 0 0 0 22 15V3a1 1 0 0 0-.83-.94ZM11 15.35a12.87 12.87 0 0 0-6-1.48H4v-10c.333-.02.667-.02 1 0a10.86 10.86 0 0 1 6 1.8v9.68Zm9-1.44h-1a12.87 12.87 0 0 0-6 1.48V5.67a10.86 10.86 0 0 1 6-1.8c.333-.02.667-.02 1 0v10.04Zm1.17 4.15a13.098 13.098 0 0 0-2.17-.19 12.94 12.94 0 0 0-7 2.05 12.94 12.94 0 0 0-7-2.05c-.727.003-1.453.066-2.17.19A1 1 0 0 0 2 19.21a1 1 0 0 0 1.17.79 10.9 10.9 0 0 1 8.25 1.91 1 1 0 0 0 1.16 0A10.9 10.9 0 0 1 20.83 20a1 1 0 0 0 1.17-.79 1 1 0 0 0-.83-1.15Z"/></svg>  <span class="astro-v5tidmuc">Easy User Interface</span> </p> <div class="body astro-v5tidmuc"><p>SocNetV’s intuitive interface lets you create, analyze, and visualize social networks. Navigate yourself and use the application either with the mouse or the keyboard.</p></div> </article> <article class="card sl-flex astro-v5tidmuc"> <p class="title sl-flex astro-v5tidmuc"> <svg aria-hidden="true" class="icon astro-v5tidmuc astro-c6vsoqas" width="16" height="16" viewBox="0 0 24 24" fill="currentColor" style="--sl-icon-size: 1.333em;"><path d="M22 7.24a1 1 0 0 0-.29-.71l-4.24-4.24a1 1 0 0 0-1.1-.22 1 1 0 0 0-.32.22l-2.83 2.83L2.29 16.05a1 1 0 0 0-.29.71V21a1 1 0 0 0 1 1h4.24a1 1 0 0 0 .76-.29l10.87-10.93L21.71 8c.1-.1.17-.2.22-.33a1 1 0 0 0 0-.24v-.14l.07-.05ZM6.83 20H4v-2.83l9.93-9.93 2.83 2.83L6.83 20ZM18.17 8.66l-2.83-2.83 1.42-1.41 2.82 2.82-1.41 1.42Z"/></svg>  <span class="astro-v5tidmuc">File Formats</span> </p> <div class="body astro-v5tidmuc"><p><p>Load and save to GraphML, but you can also import most network file formats (GML, Pajek,
 UCINET, GraphViz, Adjacency, EdgeList, etc.).</p></p></div> </article> <article class="card sl-flex astro-v5tidmuc"> <p class="title sl-flex astro-v5tidmuc"> <svg aria-hidden="true" class="icon astro-v5tidmuc astro-c6vsoqas" width="16" height="16" viewBox="0 0 24 24" fill="currentColor" style="--sl-icon-size: 1.333em;"><path d="M21.337 14.958L21.337 14.958Q21.269 14.958 21.201 14.890L21.201 14.890Q20.963 14.754 20.793 14.754L20.793 14.754L20.793 9.246Q21.133 9.246 21.337 9.042L21.337 9.042Q22.085 8.600 22.323 7.767Q22.561 6.934 22.119 6.169Q21.677 5.404 20.827 5.183Q19.977 4.962 19.229 5.404L19.229 5.404Q18.923 5.540 18.787 5.846L18.787 5.846L13.993 3.092Q13.993 2.888 14.061 2.718Q14.129 2.548 14.095 2.446L14.095 2.446Q14.129 1.562 13.500 0.933Q12.871 0.304 11.987 0.304Q11.103 0.304 10.491 0.933Q9.879 1.562 9.879 2.446L9.879 2.446Q9.879 2.854 9.981 3.092L9.981 3.092L5.187 5.846Q5.119 5.676 4.881 5.506L4.881 5.506L4.779 5.404Q3.997 4.962 3.147 5.183Q2.297 5.404 1.889 6.135Q1.481 6.866 1.702 7.699Q1.923 8.532 2.637 9.042L2.637 9.042L2.773 9.110Q3.011 9.246 3.181 9.246L3.181 9.246L3.181 14.754Q2.841 14.754 2.637 14.992L2.637 14.992Q1.889 15.400 1.651 16.233Q1.413 17.066 1.855 17.831Q2.297 18.596 3.147 18.817Q3.997 19.038 4.779 18.596L4.779 18.596Q5.051 18.460 5.187 18.154L5.187 18.154L9.981 20.942Q9.981 21.112 9.930 21.282Q9.879 21.452 9.845 21.554L9.845 21.554Q9.879 22.438 10.491 23.067Q11.103 23.696 11.987 23.696Q12.871 23.696 13.500 23.067Q14.129 22.438 14.129 21.554L14.129 21.554Q14.129 21.146 13.993 20.942L13.993 20.942L18.787 18.154Q18.889 18.392 19.331 18.596L19.331 18.596Q20.045 19.004 20.878 18.783Q21.711 18.562 22.187 17.848L22.187 17.848Q22.595 17.134 22.323 16.301Q22.051 15.468 21.337 14.958ZM18.243 16.352L5.731 16.352Q5.731 16.046 5.493 15.808L5.493 15.808Q5.391 15.604 5.187 15.400L5.187 15.400L11.443 4.452Q11.579 4.452 11.817 4.520L11.817 4.520L11.987 4.554Q12.429 4.554 12.531 4.452L12.531 4.452L18.787 15.400Q18.481 15.706 18.481 15.808L18.481 15.808L18.379 15.978Q18.243 16.216 18.243 16.352L18.243 16.352ZM13.585 3.806L18.243 6.594Q18.073 7.512 18.481 8.158L18.481 8.158Q18.957 8.974 19.739 9.144L19.739 9.144L19.739 14.652L19.637 14.652L13.483 3.908L13.585 3.806ZM5.629 6.696L10.491 3.806Q10.491 3.840 10.491 3.874L10.491 3.874L10.491 3.806L4.235 14.754L4.133 14.754L4.133 9.246Q4.915 9.076 5.391 8.294L5.391 8.294Q5.799 7.614 5.629 6.696L5.629 6.696ZM18.243 17.406L13.483 20.194Q12.837 19.548 11.987 19.548L11.987 19.548Q10.967 19.548 10.491 20.194L10.491 20.194L5.731 17.406L5.731 17.304L18.243 17.304L18.243 17.406Z"/></svg>  <span class="astro-v5tidmuc">Network Analysis</span> </p> <div class="body astro-v5tidmuc"><p><p>Compute distances, eccentricity, connectedness, clique census, triad census, and Prominence
 indices (e.g., eigenvector, betweenness, and information centrality, proximity prestige,
 PageRank, and more).</p></p></div> </article> <article class="card sl-flex astro-v5tidmuc"> <p class="title sl-flex astro-v5tidmuc"> <svg aria-hidden="true" class="icon astro-v5tidmuc astro-c6vsoqas" width="16" height="16" viewBox="0 0 24 24" fill="currentColor" style="--sl-icon-size: 1.333em;"><path d="M15.948 15.948L15.948 18.888L7.926 18.888Q7.800 18.384 7.506 17.922L7.506 17.922L17.922 7.506Q18.804 8.052 19.896 8.052L19.896 8.052Q21.408 8.052 22.542 7.023Q23.676 5.994 23.802 4.461Q23.928 2.928 22.983 1.710Q22.038 0.492 20.526 0.240Q19.014-0.012 17.733 0.828Q16.452 1.668 16.074 3.138L16.074 3.138L7.926 3.138Q7.548 1.710 6.330 0.870Q5.112 0.030 3.621 0.219Q2.130 0.408 1.164 1.521Q0.198 2.634 0.198 4.125Q0.198 5.616 1.164 6.729Q2.130 7.842 3.621 8.031Q5.112 8.220 6.330 7.380Q7.548 6.540 7.926 5.112L7.926 5.112L16.074 5.112Q16.200 5.616 16.494 6.078L16.494 6.078L6.078 16.494Q5.196 15.948 4.146 15.948L4.146 15.948Q2.592 15.948 1.458 16.977Q0.324 18.006 0.198 19.539Q0.072 21.072 1.017 22.290Q1.962 23.508 3.474 23.760Q4.986 24.012 6.267 23.172Q7.548 22.332 7.926 20.862L7.926 20.862L15.948 20.862L15.948 23.802L23.802 23.802L23.802 15.948L15.948 15.948ZM4.146 6.078L4.146 6.078Q3.432 6.078 2.886 5.637Q2.340 5.196 2.214 4.503Q2.088 3.810 2.403 3.201Q2.718 2.592 3.369 2.319Q4.020 2.046 4.692 2.256Q5.364 2.466 5.763 3.033Q6.162 3.600 6.099 4.314Q6.036 5.028 5.532 5.532L5.532 5.532Q4.944 6.078 4.146 6.078ZM19.854 2.172L19.854 2.172Q20.484 2.172 20.967 2.487Q21.450 2.802 21.681 3.369Q21.912 3.936 21.807 4.524Q21.702 5.112 21.282 5.532Q20.862 5.952 20.274 6.057Q19.686 6.162 19.119 5.931Q18.552 5.700 18.237 5.217Q17.922 4.734 17.922 4.104L17.922 4.104Q17.922 3.306 18.489 2.739Q19.056 2.172 19.854 2.172ZM4.146 21.828L4.146 21.828Q3.306 21.828 2.739 21.261Q2.172 20.694 2.172 19.875Q2.172 19.056 2.739 18.489Q3.306 17.922 4.125 17.922Q4.944 17.922 5.532 18.489Q6.120 19.056 6.120 19.875Q6.120 20.694 5.532 21.261Q4.944 21.828 4.146 21.828ZM17.922 21.828L17.922 17.922L21.828 17.922L21.828 21.828L17.922 21.828Z"/></svg>  <span class="astro-v5tidmuc">Visualization</span> </p> <div class="body astro-v5tidmuc"><p><p>Apply intuitive visualization layouts on undirected/directed graphs, based on prominence

manual/gui/index.html

@@ -405,13 +405,13 @@ <h4 id="viewing-or-plotting-the-adjacency-matrix">Viewing or Plotting the Adjace
 </ul>
 <hr>
 <h4 id="using-known-datasets">Using Known Datasets</h4>
-<p>SocNetV can recreate well-known datasets. See <a href="./generate##recreating-famous-datasets">Recreating Famous Datasets</a>.</p>
+<p>SocNetV can recreate well-known datasets. See <a href="/manual/generate#recreating-famous-datasets">Recreating Famous Datasets</a>.</p>
 <hr>
 <h4 id="random-network-creation">Random Network Creation</h4>
-<p>SocNetV can generate random networks based on various models. See <a href="./generate#random-network-creation">Network Generation</a>.</p>
+<p>SocNetV can generate random networks based on various models. See <a href="/manual/generate#random-network-creation">Network Generation</a>.</p>
 <hr>
 <h4 id="web-crawler">Web Crawler</h4>
-<p>SocNetV includes a web crawler to analyze networks of web pages. See <a href="./generate#web-crawler-networks-of-webpages">Web Crawler Documentation</a>.</p>
+<p>SocNetV includes a web crawler to analyze networks of web pages. See <a href="/manual/generate#web-crawler-networks-of-webpages">Web Crawler Documentation</a>.</p>
 <hr>
 <h4 id="printing-and-exporting">Printing and Exporting</h4>
 <p>To print:</p>

manual/intro/index.html

@@ -126,7 +126,7 @@ <h3 id="features-of-socnetv">Features of SocNetV</h3>
 <li>Barabási–Albert Scale-Free</li>
 <li>Erdős–Rényi</li>
 <li>Watts-Strogatz Small-World<br>
-See more in the <a href="./generate#random-network-creation">Random Networks</a> section.</li>
+See more in the <a href="/manual/generate#random-network-creation">Random Networks</a> section.</li>
 </ul>
 </li>
 <li>
@@ -137,7 +137,7 @@ <h3 id="features-of-socnetv">Features of SocNetV</h3>
 <li>Diameter</li>
 <li>Geodesic distances</li>
 <li>Clustering coefficient<br>
-See details in the <a href="./analysis#cohesion-measures">Cohesion Metrics</a> section.</li>
+See details in the <a href="/manual/analysis#cohesion-measures">Cohesion Metrics</a> section.</li>
 </ul>
 </li>
 <li>
@@ -148,7 +148,7 @@ <h3 id="features-of-socnetv">Features of SocNetV</h3>
 <li>Eigenvector centrality</li>
 <li>Closeness centrality</li>
 <li>PageRank prestige<br>
-Explore these metrics in the <a href="./analysis#centralities-and-prestige">Centralities</a> section.</li>
+Explore these metrics in the <a href="/manual/analysis#centralities-and-prestige">Centralities</a> section.</li>
 </ul>
 </li>
 <li>
@@ -157,13 +157,13 @@ <h3 id="features-of-socnetv">Features of SocNetV</h3>
 <ul>
 <li>Triad census</li>
 <li>Clique census<br>
-Learn more in the <a href="./analysis#community-detection">Communities</a> section.</li>
+Learn more in the <a href="/manual/analysis#community-detection">Communities</a> section.</li>
 </ul>
 </li>
 <li>
 <p><strong>Structural Equivalence Analysis</strong><br>
 Perform hierarchical clustering, actor similarity, and tie profile dissimilarity analysis.<br>
-See more in <a href="./analysis#structural-equivalence-methods">Structural Equivalence</a>.</p>
+See more in <a href="/manual/analysis#structural-equivalence-methods">Structural Equivalence</a>.</p>
 </li>
 <li>
 <p><strong>Visualization Models</strong><br>
@@ -173,7 +173,7 @@ <h3 id="features-of-socnetv">Features of SocNetV</h3>
 <li>Level-based</li>
 <li>Nodal sizes by centrality score</li>
 <li>Force-directed placement (Kamada-Kawai, Fruchterman-Reingold)<br>
-Learn more in the <a href="./visualization">Visualization</a> section.</li>
+Learn more in the <a href="/manual/visualization">Visualization</a> section.</li>
 </ul>
 </li>
 </ol>

pagefind/pagefind-entry.json

@@ -1 +1 @@
-{"version":"1.2.0","languages":{"en":{"hash":"en_24a1cecf55","wasm":"en","page_count":29}}}
+{"version":"1.2.0","languages":{"en":{"hash":"en_4652fb6740","wasm":"en","page_count":29}}}