updates

astro.config.mjs

@@ -11,7 +11,9 @@ export default defineConfig({
 	base: '/',
 	redirects: {
     '/docs/formats.html': '/manual/formats',
-		'/search': '/',
+	'/docs/intro.html': '/manual/intro',
+	'/manual/visualisation': '/manual/visualization'
+    '/search': '/',
   },
 	integrations: [
 		starlight({

src/content/docs/downloads.mdx

@@ -8,12 +8,13 @@ import { Aside } from '@astrojs/starlight/components';
 import { LinkButton } from '@astrojs/starlight/components';
 import { Code } from '@astrojs/starlight/components';
 
-From this page, you can download the latest version of Social Network Visualizer. There are installation packages and binaries for the three major operating systems (Windows, Mac, and Linux), as well as links for the source code.
+From this page, you can download the latest version of Social Network Visualizer. 
+There are installation packages and binaries for the three major operating systems (Windows, macOS, and Linux), as well as links for the source code and the development version.
 
-Click one of the buttons below to download the latest version package for your operating system. If there is no package for your OS, please download and compile the source code (last icon).
+Click one of the buttons below to download the latest version of SocNetV for your operating system. If there is no installer or package for your OS, please download and compile the source code (see further below).
 
 
-### Select your OS
+### Latest release
 <div class="col" style="text-align: center;">
   <h3 id="windows">Windows</h3>
   <a href="https://github.com/socnetv/app/releases/download/v3.1/SocNetV-3.1-3fa9cf7f-windows-installer.exe" style="font-size: 18px;">
@@ -47,7 +48,7 @@ Download and have fun with social network analysis!
 
 ---
 
-### Notes
+#### Notes
 
 ##### For Windows users
 :::note
@@ -72,7 +73,7 @@ SocNetV is also available in [the repositories of most Linux distributions](http
 Download Zipped Archive
 </LinkButton>
 
-To compile the source code, please see the [Instructions](http://socnetv.org/docs/intro.html#Compile).
+To compile the source code, please see the [Instructions](/manual/intro#installation-instructions).
 
 ---
 
@@ -100,14 +101,14 @@ qmake
 make
 ```
 
-If you have Qt5 installed, a binary file named socnetv (or socnetv.exe) will be created. You can run it by:
+If you have Qt6 installed, a binary file named socnetv (or socnetv.exe) will be created. You can run it by:
 
 Linux/macOS: 
 ```bash
-    ./socnetv
+./socnetv
 ```
 
 Windows: 
 ```bash
-    socnetv.exe
+socnetv.exe
 ```

src/content/docs/index.mdx

@@ -1,13 +1,13 @@
 ---
 title:  Social Network Visualizer 
-description: SocNetV - Social Network Analysis and Visualization Software
+description: Social Network Analysis - Social Network Visualizer (SocNetV) is a user-friendly and free software tool for Social Network Analysis and Visualization.
 template: splash
 banner:
   content: |
-    Welcome to our new website. We just launched it! 
-    <a href="https://github.com/socnetv/website">Check it out</a>
+    Welcome to our new website! 
+    <a href="/downloads">Download SocNetV</a>
 hero:
-  tagline: Free and Open-Source Tool for Social Network Analysis
+  tagline: SocNetV - Social Network Analysis and Visualization Software
   image:
     file: ../../assets/socnetv-logo-256-no-bg-opt.svg
   actions:
@@ -18,59 +18,67 @@ hero:
       link: /documentation
       icon: document
       variant: secondary
-    - text: Get the code
+    - text: Get the code 
       link: https://github.com/socnetv/app
       icon: external
-      variant: minimal	  
+      variant: minimal
 ---
 
 import BaseLayout from "../../layouts/BaseLayout.astro";
 import { Card, CardGrid } from '@astrojs/starlight/components';
 import Mermaid from "../../components/Mermaid.astro";
-
-
+import { LinkButton } from '@astrojs/starlight/components';
 
 <BaseLayout title="Home" description="Welcome to SocNetV">
 
 
-{/* title: "Welcome to Social Network Visualizer (SocNetV)"
-description: "SocNetV is a cross-platform, user-friendly software for social network analysis and visualization. Learn about its features and how to contribute." */}
+## Free and Open-Source Tool for Social Network Analysis 🌟 
 
-## Social Network Visualizer (SocNetV)
 ![SocNetV Screenshot](/data/uploads/screenshots/25/socnetv-25-131-actors-citation-Degree-Centrality-Radial-Node-size-color-Layout-outDegree-distribution.png)
 
-
-
 SocNetV is a cross-platform, user-friendly free software application for social network analysis and visualization. With SocNetV you can:
 
 - [Draw social networks](../manual/gui) with a few clicks on a virtual canvas, load field data from a file in a [supported format](../manual/formats) ([GraphML](../manual/formats/#graphml-files), [GraphViz](../manual/formats/#graphviz-dot-files), Adjacency, EdgeList, GML, Pajek, UCINET, etc.), or crawl the internet to create a social network of connected webpages.
+
 - Edit actors and ties through point-and-click, analyze graph and social network properties, produce beautiful HTML reports, and embed visualization layouts in the network.
 
-### Main Features 🧞
+---
+
+### Main Features 🚀
 
 - Standard graph and network cohesion metrics, such as [density](../manual/analysis/#cohesion-measures), [diameter](../manual/analysis/#diameter), [geodesics](../manual/analysis/#geodesics-matrix), [distances](../manual/analysis/#distances-matrix), [connectedness](../manual/analysis/#connectedness), [eccentricity](../manual/analysis/#eccentricity), [clustering coefficient](../manual/analysis/#clustering-coefficient), reciprocity, etc.
 - Matrix routines: Adjacency plot, Laplacian matrix, Degree matrix, Cocitation, etc.
 - Advanced measures for social network analysis such as [centrality and prestige indices](../manual/analysis/#centralities-and-prestige) (e.g., [eigenvector centrality](../manual/analysis/#eigenvector-centrality-or-gould-index-evc), [closeness centrality](../manual/analysis/#closeness-centrality-cc), [betweenness centrality](../manual/analysis/#betweenness-centrality-bc), [information centrality](../manual/analysis/#information-centrality-ic), [power centrality](../manual/analysis/#power-centrality-pc), [proximity prestige](../manual/analysis/#proximity-prestige-pp), and [pagerank prestige](../manual/analysis/#pagerank-prestige-prp)).
 - Fast algorithms for [community detection](../manual/analysis/#community-detection), such as [triad census](../manual/analysis/#triad-census), [clique census](../manual/analysis/#clique-census), etc.
 - Structural equivalence analysis using [hierarchical clustering](../manual/analysis), actor similarities, tie profile dissimilarities, and Pearson coefficients.
-- [Layout models](../manual/visualisation) based on prominence indices (e.g., circular, level, nodal sizes by centrality score) or on force-directed placement (e.g., Kamada-Kawai, [Fruchterman-Reingold](../manual/index.md#LayoutFR)).
+- [Layout models](../manual/visualization) based on prominence indices (e.g., circular, level, nodal sizes by centrality score) or on force-directed placement (e.g., [Kamada-Kawai](/manual/visualization#kamada-kawai-layout), [Fruchterman-Reingold](../manual/index.md#LayoutFR)).
 - [Multirelational network loading and editing](../manual/intro).
 - Random network creation using various models ([Barabási–Albert Scale-Free](../manual/generate/#scale-free-s-f-networks), [Erdős–Rényi](../manual/generate/#erd%C5%91sr%C3%A9nyi-er-networks), [Watts-Strogatz Small-World](../manual/generate/#small-world-sw-networks), d-regular, ring lattice, etc.).
 - [Famous social network analysis datasets](../manual/generate/#datasets-recreating-famous-datasets), such as Padgett's Florentine families.
 - Built-in [web crawler](../manual/generate/#web-crawler-networks-of-webpages) to automatically create "social networks" from links found in a given URL.
 - Comprehensive [documentation](../documentation) available both online and inside the application.
 
+---
+
+## Do you want to 📥
+
 Source code, packages, and executables for Windows, Linux, and macOS are available on the [Downloads](../downloads) page.
 
+<p><a href="https://github.com/socnetv/app/releases" target="_blank" rel="nofollow nopener"><img src="https://img.shields.io/github/release/socnetv/app.svg" /></a></p>
+
+
+
+#### License
+
 ![GPL3 License](../../assets/images/gplv3.gif)
 
 The program is Free Software, licensed under the [GNU General Public License 3 (GPL3)](http://www.gnu.org/copyleft/gpl.html). You can copy or modify it, provided you keep the same license. The documentation is also free, licensed under the Free Documentation License (FDL).
 
 ---
 
-## Do You Want to Contribute? 👀
+## Do You Want to Contribute? 🙌 💎
 
-- If you are a C++/Qt developer, you can contribute by committing patches (new features or bug fixes) to our [source code](https://github.com/socnetv/app/tree/develop).
+- If you are a C++/Qt developer, you can contribute by committing patches (new features or bug fixes) to our [development source code](https://github.com/socnetv/app/tree/develop).
 - If you are a SocNetV user, you can:
   - Report [bugs](../bugs) or propose new features in our [Issues](https://github.com/socnetv/app/issues).
   - Donate any amount to the project via the "Donate" button in the footer. Donations will redirect to our PayPal account.
@@ -79,15 +87,14 @@ Thank you for using and contributing to SocNetV! Have fun with social network an
 
 ---
 
-## SocNetV Features 🚀
-Explore the nice features of SocNetV to make  your social network research real fun!
-
-<CardGrid stagger>
+## At a glance 👀 
 
+Explore the nice features of SocNetV to make your social network research real fun!
 
+<CardGrid stagger>
 
   <Card title="Easy User Interface" icon="open-book">
-    <i className="fa fa-magic" aria-hidden="true"></i>
+    <i className="icon" aria-hidden="true">🖥️</i>
     <p>Navigate yourself and use the application either with the mouse or the keyboard.</p>
   </Card>
 
@@ -99,36 +106,33 @@ Explore the nice features of SocNetV to make  your social network research real
     </p>
   </Card>
 
-  <Card title="Network Analysis" icon="open-book">
+  <Card title="Network Analysis" icon="seti:graphql">
     <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>
   </Card>
 
-  <Card title="Visualization" icon="open-book">
-    <i className="fa fa-desktop" aria-hidden="true"></i>
+  <Card title="Visualization" icon="seti:pipeline">
     <p>
       Apply intuitive visualization layouts on undirected/directed graphs, based on prominence
       scores or force-directed models.
     </p>
   </Card>
 
-  <Card title="Famous Networks" icon="seti:csv">
-    <i className="fa fa-heart-o" aria-hidden="true"></i>
+  <Card title="Famous Networks" icon="seti:favicon">
     <p>Automatically recreate known social network datasets such as Padgett's Families.</p>
   </Card>
 
-  <Card title="Random Networks" icon="seti:pipeline">
-    <i className="fa fa-random" aria-hidden="true"></i>
+  <Card title="Random Networks" icon="random">
     <p>
       Create random networks using one of the supported models (scale-free, Erdős–Rényi, lattice,
       small worlds).
     </p>
   </Card>
 
-  <Card title="Web Crawler" icon="seti">
+  <Card title="Web Crawler" icon="rocket">
     <i className="fa fa-map-o" aria-hidden="true"></i>
     <p>
       Easily visualize and analyze networks of linked web pages and sites through the built-in web
@@ -137,23 +141,20 @@ Explore the nice features of SocNetV to make  your social network research real
   </Card>
 
   <Card title="Multi-relational" icon="add-document">
-    <i className="fa fa-plus" aria-hidden="true"></i>
     <p>
       Work with multiple relations concurrently. SocNetV supports loading, editing, and saving
       multirelational social networks.
     </p>
   </Card>
 
-  <Card title="Documentation" icon="open-book">
-    <i className="fa fa-question-circle" aria-hidden="true"></i>
+  <Card title="Documentation" icon="seti:info">
     <p>
       Learn to work with SocNetV and make use of Social Network Analysis methods by reading our
       Manual.
     </p>
   </Card>
 
   <Card title="Free Software" icon="linux">
-    <i className="fa fa-code" aria-hidden="true"></i>
     <p>
       SocNetV is Free and Open-Source Software. Use it everywhere. Have a feature request? Ask us!
     </p>

src/content/docs/manual/intro.mdx

@@ -49,6 +49,8 @@ graph LR
 
 Social Network Visualizer (SocNetV) is an open-source project to build a flexible and user-friendly, cross-platform [tool for social network analysis and visualization](http://socnetv.org), targeting primarily the social researcher. It is developed in C++ and Qt, an open-source development toolkit, and runs on Linux, macOS, and Windows.
 
+SocNetV supports the creation and analysis of multirelational networks in the GraphML format. This capability allows users to define and visualize multiple types of relationships (edges) between nodes within the same network. Each relation is stored as a distinct layer, making it easy to switch between, analyze, and compare different relationship types. This multirelational support is particularly useful for complex datasets, such as networks involving family ties, professional connections, or transactional links, all within a single unified GraphML file.
+
 ### Features of SocNetV
 
 1. **Graph Construction**