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src/content/docs/news/socnetv-v18-released-with-scale-free-network-generator.md
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| --- | ||
| title: "SocNetV v1.8 Released with Scale-Free Network Generator" | ||
| date: 2015-06-05 | ||
| description: "SocNetV v1.8 introduces a new clique computation routine, scale-free network generator, and improvements in random network generation." | ||
| image: "https://socnetv.org/data/uploads/screenshots/18/socnetv_1_8-random-net-clique-census-3.jpg" | ||
| tags: | ||
| - Scale-Free Networks | ||
| - Barabási–Albert Model | ||
| - Random Networks | ||
| - Clique Census | ||
| - Erdős–Rényi | ||
| - Small-World Networks | ||
| --- | ||
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| A new version of SocNetV has just been released with a couple of nice new features. | ||
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| ### Clique Computation Routine | ||
| SocNetV v1.8 includes a revamped **clique computation routine** with an updated report. The new **"clique census"** report provides: | ||
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| - Aggregate counts of cliques (up to clique number 4). | ||
| - Disaggregation by vertex and co-membership information. | ||
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|  | ||
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| ### Scale-Free Network Generator | ||
| This version introduces the ability to generate **scale-free random networks/graphs** using the **Barabási–Albert (BA) model**, which employs a preferential attachment mechanism. | ||
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| The algorithm starts with \( m_0 \) connected nodes (default: 1). At each step, a new node is added with \( m \) edges to existing nodes. The probability \( p_i \) that the n |
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src/content/docs/news/socnetv-v19-released-bug-fixes-and-speed-increase.md
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| --- | ||
| title: "SocNetV v1.9 released - Bug Fixes and Speed Increase" | ||
| date: 2015-06-23 | ||
| description: "SocNetV v1.9 introduces bug fixes, a faster matrix inverse routine, and revamped PageRank Prestige algorithm." | ||
| image: "https://socnetv.org/data/uploads/screenshots/18/socnetv_1_8-random-net-sw-1.jpg" | ||
| tags: | ||
| - PageRank | ||
| - Social Network Analysis | ||
| - Matrix Inversion | ||
| - Bug Fixes | ||
| - LU Decomposition | ||
| --- | ||
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| The Social Network Visualizer project has just released version **1.9**, which fixes many important bugs and brings a faster matrix inverse routine. Source code, Windows zipped executables, Mac OS image, and binary packages for major Linux distributions are as always available from the [Downloads](https://socnetv.org/downloads/) page. | ||
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| ### Key Improvements | ||
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| - **Faster Matrix Inverse Routine**: | ||
| The matrix inverse algorithm now uses LU decomposition, greatly improving computation speed. This enhancement also affects the **Information Centrality** algorithm, which now runs in **1/10th** of the time required in earlier SocNetV versions. | ||
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| - **Revamped PageRank Prestige Algorithm**: | ||
| Up to version 1.8, the PageRank algorithm used the original Page & Brin formula, leading to different results. Starting from this version, SocNetV [uses the correct formula](https://socnetv.org/manual/analysis) and computes comparable results. Additionally, the initial PageRank score of each node is now set to **1/N**. | ||
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| ### Closed Bugs in Version 1.9 | ||
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| - **#1463069**: Wrong average distance when there are isolates. | ||
| - **#1365037**: Certain sparse matrices crash SocNetV on the invertMatrix method. | ||
| - **#1365582**: CentralityInformation() is slow when network size \(N > 100\). | ||
| - **#1463095**: Edge filter works but the user cannot undo. | ||
| - **#1464422**: Incorrect PageRank results. | ||
| - **#1464430**: SocNetV refuses to read Pajek files not starting with `*Network`. | ||
| - **#1465774**: Edges do not always follow relations. | ||
| - **#1463082**: Edge color change does not take effect. | ||
| - **#1464418**: SocNetV crashes during PageRank computation on isolated nodes. | ||
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| With these enhancements and fixes, SocNetV v1.9 ensures faster and more reliable performance for your social network analysis tasks. |
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| --- | ||
| title: "SocNetV v2.1 Released!" | ||
| date: 2016-09-29 | ||
| tags: ["release", "pagerank"] | ||
| description: "SocNetV v2.1 introduces faster and more accurate network analysis, a new d-regular random network generator, improved UCINET format support, and many bug fixes." | ||
| image: "https://socnetv.org/data/uploads/screenshots/21/socnetv-2.1-38-actors-heart.jpg" | ||
| --- | ||
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| Today is a wonderful day because we are happy to announce that a brand-new version of our favorite social network analysis and visualization software application has been released. **SocNetV version 2.1**, released on **September 28, 2016**, has the codename **"fixer"** and is available for **Windows**, **Mac OS X**, and **Linux** from the [Downloads](https://socnetv.org/downloads/) page. | ||
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| --- | ||
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| ## What's New in SocNetV v2.1? | ||
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| ### Faster and More Accurate Network Analysis Computation | ||
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| - Improved algorithms for social network analysis allow most metrics to be computed simultaneously. The results are saved and reused during the session, recalculating only when nodes, edges, or weights are modified. | ||
| - Fixed metrics like **PageRank Prestige (PRP)** and **Average Graph Distance (AGD)** now produce accurate results. | ||
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| --- | ||
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| ### New d-Regular Random Network Generator | ||
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| - The **d-regular network generator** has been rewritten and now generates both directed and undirected **d-regular random networks** without errors. | ||
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| --- | ||
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| ### Improved UCINET Format Support | ||
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| - **Fullmatrix format** is now supported again. SocNetV already supports the **edgelist format**, ensuring compatibility with more datasets. | ||
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| --- | ||
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| ### Better Network Visualization | ||
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| - Fixed issues with node and edge stacking on the canvas. | ||
| - Corrected the display of edges with large weights to prevent overly thick lines. | ||
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| --- | ||
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| ## Bug Fixes | ||
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| - **#1624561**: Network files with both arcs and edges are loaded as solely undirected nets. | ||
| - **#1622889**: The d-regular generator does not produce random networks. | ||
| - **#1623812**: After loading a new network file, the app behaves as if the network has changed. | ||
| - **#1624583**: UCINET `.dl` files crash the app. | ||
| - **#1624750**: Random new nodes can be drawn out of the canvas. | ||
| - **#1625831**: Removing an edge in undirected graphs does not update the node outDegree. | ||
| - **#1627390**: Wrong PageRank Prestige results in undirected nets. | ||
| - **#1627721**: Incorrect average graph distance metric in disconnected networks. | ||
| - **#1628382**: Edges with very large weights are drawn with huge line widths. | ||
| - **#1627213**: Crashes when double-clicking on a target node after deleting the source node. | ||
| - **#1628170**: Edge labeling with HTML special characters breaks GraphML files. | ||
| - **#1622891**: Highlighted edges should have a larger z-index. | ||
| - **#1624352**: The "Change Edge Color" dialog does not display the current edge color. | ||
| - **#1624360**: Default edge color and node shape are incorrect in Edit menu dialogs. | ||
| - **#1628395**: Incorrect z-value of nodes and edges caused cluttering. | ||
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| --- | ||
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| Download SocNetV v2.1 today and, as always, have fun with your social network analysis projects! |
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| --- | ||
| title: "SocNetV v2.2 Released with Cluster Analysis, Eigenvector Centrality, and More!" | ||
| date: 2017-01-21 | ||
| description: "SocNetV v2.2 introduces hierarchical clustering, eigenvector centrality, advanced analysis tools, and numerous bug fixes. Download it today for enhanced social network analysis!" | ||
| image: "http://socnetv.org/data/uploads/screenshots/22/socnetv-2.2.jpg" | ||
| tags: ["release", "Hierarchical Clustering Analysis", "Actor Similarity"] | ||
| --- | ||
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| We are pleased to announce that a new version of your favorite social network analysis and visualization software application has been released. **SocNetV version 2.2**, codenamed **"beyond"**, brings many new features and is now available for **Windows**, **Mac OS X**, and **Linux**. Visit the [Downloads](http://socnetv.org/downloads/) page to get it! | ||
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| --- | ||
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| ## What's New in SocNetV v2.2? | ||
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| ### Hierarchical Clustering Analysis (HCA) | ||
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| SocNetV now performs hierarchical agglomerative cluster analysis on social networks using these methods: | ||
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| - **Single-Linkage (minimum)** | ||
| - **Complete-Linkage (maximum)** | ||
| - **Average-Linkage (UPGMA)** | ||
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| You can compute the **Structural Equivalence matrix** using adjacency or geodesic distance matrices with user-selected metrics such as **Euclidean**, **Manhattan**, and **Jaccard** distances. | ||
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| Results include: | ||
| - A **list of clusters per level**. | ||
| - A **dendrogram** of the cluster hierarchy in SVG format. | ||
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| --- | ||
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| ### Eigenvector Centrality | ||
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| Version 2.2 introduces **Eigenvector Centrality**, which measures the influence of a node in a network based on the leading eigenvector of the adjacency matrix. | ||
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| Use this metric for network analysis or embedding radial/level layouts. | ||
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| --- | ||
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| ### Pearson Product-Moment Correlation Coefficients | ||
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| SocNetV now computes **Pearson Correlation Coefficients** to correlate actor profiles (ties or distances). Results are displayed as a correlation matrix. | ||
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|  | ||
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| --- | ||
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| ### Actor Similarity | ||
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| Compare pairwise tie/distance profiles of actors to produce a similarity matrix using measures like: | ||
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| - **Simple Matching** | ||
| - **Jaccard** | ||
| - **Hamming** | ||
| - **Cosine Similarity** | ||
| - **Euclidean Distance** | ||
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| --- | ||
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| ### Maximal Clique Census | ||
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| Using the **Bron–Kerbosch algorithm**, SocNetV finds all **maximal cliques** in undirected or directed graphs. The **clique census report** includes useful statistics, co-membership information, and dendrograms. | ||
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|  | ||
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| --- | ||
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| ### Additional Features | ||
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| #### Cocitation Analysis | ||
| - Compute **Cocitation Matrices**. | ||
| - Create **Cocitation Networks**, where actors are connected if they are cited by common neighbors. | ||
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| #### Symmetrize Edges by Strong Ties | ||
| Create new relations using only strong, reciprocal ties. | ||
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| #### Multi-relational GraphML Support | ||
| Read and write `.graphml` files with multiple relations. | ||
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| #### GML and Pajek Support | ||
| Support for **GML** formatted data and **multi-relational Pajek files**. | ||
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| --- | ||
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| ### Performance Improvements | ||
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| - Faster matrix multiplication using optimized algorithms. | ||
| - Enhanced adjacency matrix plotting with Unicode characters. | ||
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|  | ||
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| --- | ||
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| ## Bug Fixes and Notices | ||
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| - Resolved various issues like incorrect distances in weighted networks, edge labels not saving, and more. | ||
| - New dataset: **Petersen Graph**. | ||
| - Transformed **Krackhardt's High-tech Managers** and **Zachary Karate Club** into multirelational datasets. | ||
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| > **Important Notices**: | ||
| > - Project's new domain: [http://socnetv.org](http://socnetv.org) | ||
| > - Code and files are now hosted on GitHub. | ||
| --- | ||
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| Download SocNetV v2.2 today and enjoy the new features and improvements! |
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