added old news (complete)

src/content/docs/news/a-short-tour-of-the-new-features-of-socnetv-v14.md

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+---
+title: "A Short Tour of the New Features in SocNetV v1.4"
+date: 2014-09-03
+description: "Explore the latest features and updates in SocNetV v1.4, including multirelational editing, memory optimizations, and new datasets."
+tags:
+  - SocNetV
+  - v1.4
+  - multiple relations
+  - multirelational editing
+  - Freeman's EIES networks
+---
+
+Over the last weeks, the **Social Networks Visualizer (SocNetV)** project has released two new versions that bring useful features and bugfixes. The latest **v1.4** closes even 4-year-old bugs!
+
+![SocNetV v1.4: Erdos-Random-Social-Network](http://dimitris.apeiro.gr/wp-content/uploads/2014/09/socnetv-v1.4-erdos-random-social-network.jpg)  
+*SocNetV v1.4: Erdos-Random-Social-Network*
+
+## Multirelational Editing
+
+One of the strongest new features in SocNetV v1.4 is **multirelational editing**. Now, you can:
+
+1. Load or create a network (e.g., friendship ties in a classroom).
+2. Add a new relation (e.g., "likes") using **Ctrl+Shift+N** or the `+` button.
+
+![SocNetV v1.4: Friendship Network](http://dimitris.apeiro.gr/wp-content/uploads/2014/09/socnetv-v1.5-20-kids-classroom-social-network-friendship.jpg)  
+*SocNetV v1.4: Classroom Social Network - Friendship*
+
+Easily switch between relations, analyze, and visualize them. For example, apply a **circular layout** based on **Betweenness Centrality** to one relation and compare it with another relation's **node size** visualization.
+
+![Betweenness Centrality Visualization](http://dimitris.apeiro.gr/wp-content/uploads/2014/09/socnetv-v1.5-20-kids-classroom-social-network-friendship-new-relation-betweennes-circular-layout.jpg)  
+*Betweenness Centrality Visualization in a Circular Layout*
+
+## Loading and Saving Multirelational Networks
+
+- SocNetV now supports loading **multirelational networks** (e.g., UCINET formatted files).
+- However, when saving, each relation must be saved individually. This will be improved in future versions.
+
+For example, you can test this feature with the **Freeman’s EIES networks dataset**.
+
+![Freeman's EIES Networks](http://dimitris.apeiro.gr/wp-content/uploads/2014/09/socnetv-v1.4-freeman-EIES-networks-multirelational-open.jpg)  
+*SocNetV v1.4: Freeman's EIES Networks*
+
+## Memory Optimizations
+
+SocNetV v1.4 is optimized for low memory consumption and speed:
+
+- Handles networks with **1000 actors and 10,000 edges** in seconds.
+- Consumes less than **400MB RAM**.
+
+![Random Erdos-Renyi Network](http://dimitris.apeiro.gr/wp-content/uploads/2014/09/socnetv-v1.4-random-erdos-renyi-1000-actors-40000-edges-betweenness-circular-nodal-layout.jpg)  
+*Random Erdos-Renyi Network with 1000 actors and 40,000 edges.*
+
+## Additional Enhancements
+
+- Improved **visualization layouts** (circular and nodal size based on prominence indices).
+- Faster analysis of large datasets with new tools like **Triad Census** and **Geodesic Matrix**.
+
+![Geodesic Matrix Analysis](http://dimitris.apeiro.gr/wp-content/uploads/2014/09/socnetv-v1.6-freeman-EIES-networks-multirelational-geodesics.jpg)  
+*Geodesic Matrix Analysis*
+
+## Bugs Fixed
+
+Version 1.4 addresses several bugs (see the [ChangeLog](https://socnetv.org/ChangeLog)) and introduces stability improvements. However, testing and feedback are always welcome to ensure the best user experience.
+
+---
+
+Download the latest version from the [SocNetV Downloads page](https://socnetv.org/downloads) and enjoy exploring your networks!

src/content/docs/news/social-network-analysis-using-social-network-visualizer.md

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+---
+title: "Social Network Analysis Using Social Network Visualizer"
+date: 2016-05-13
+description: "Watch a YouTube video by Michael Axelsen exploring social network analysis using SocNetV."
+tags:
+  - Social Network Analysis
+  - Tutorial
+  - YouTube
+image: "https://socnetv.org/data/uploads/screenshots/socnetv-19-youtubevideo.jpg"
+---
+
+This [video](https://www.youtube.com/watch?v=ti-98tIzfEk), uploaded to YouTube by **Michael Axelsen**, explores the topic of social network analysis using **SocNetV**.
+
+<iframe 
+  width="560" 
+  height="315" 
+  src="https://www.youtube.com/embed/ti-98tIzfEk" 
+  frameborder="0" 
+  allowfullscreen>
+</iframe>

src/content/docs/news/socnetv-10-released.md

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+---
+title: "SocNetV 1.0 Released"
+date: 2014-02-27
+description: "SocNetV 1.0 marks the first release based on Qt5, introducing PageRank calculation and layout along with bug fixes."
+tags:
+  - PageRank
+  - Release
+  - Qt5
+  - Social Networks Visualizer
+---
+
+**SocNetV version 1.0** has just been released! This milestone marks the first version built on the new **Qt5 toolkit**, introducing exciting features and improvements.
+
+---
+
+## Highlights
+
+- **PageRank Calculation and Layout**: Analyze networks using the popular PageRank algorithm.
+- **Bug Fixes**: Enhanced stability and performance.
+
+---
+
+## Downloads
+
+Source code is available on the [Downloads](https://socnetv.org/downloads) page.
+
+---
+
+Experience the enhanced features and performance of SocNetV 1.0!

src/content/docs/news/socnetv-11-released.md

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+---
+title: "SocNetV 1.1 Released"
+date: 2014-08-01
+description: "SocNetV 1.1 focuses on bug fixes, enhancing stability and usability. Download binaries for Windows, Mac OS X, and Linux."
+tags:
+  - Release
+  - Mac OS X
+  - Bugfixes
+---
+
+**SocNetV version 1.1** has just been released! This version focuses on fixing numerous bugs identified since version 1.0.
+
+---
+
+## Highlights
+
+This release is a **bugfix update**, improving stability and functionality. For a complete list of fixes, refer to the [ChangeLog](https://socnetv.org/ChangeLog).
+
+---
+
+## Downloads
+
+Source code, binaries for Windows, Fedora, and openSUSE, as well as a Mac OS X 10.9 disk image, are available on the [Downloads](https://socnetv.org/downloads) page.
+
+---
+
+Enjoy the improved stability and performance of SocNetV 1.1!

src/content/docs/news/socnetv-12-released-and-brings-new-gui-and-features.md

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+---
+title: "SocNetV 1.2 Released with New GUI and Features"
+date: 2014-08-18
+description: "SocNetV 1.2 introduces a major GUI overhaul, new prominence measures, visualization layouts, and significant bug fixes."
+tags:
+  - Release
+  - GUI
+  - Prominence
+  - Centrality
+  - Prestige
+---
+
+**SocNetV version 1.2** has been released! This update brings a major GUI overhaul, new prominence measures, advanced visualization layouts, and numerous bug fixes.
+
+---
+
+## Highlights
+
+### Redesigned Conceptualization of Prominence
+
+SocNetV now distinguishes between **Centrality indices** and **Prestige indices**, following frameworks by Wasserman & Faust and Knoke & Burt:
+
+- **Centrality Indices** (for undirected graphs or outLinks in digraphs):
+  - Degree Centrality (DC)
+  - Closeness Centrality (CC)
+  - Influence Range Closeness Centrality (IRCC)
+  - Betweeness Centrality (BC)
+  - Stress Centrality (SC)
+  - Eccentricity Centrality (EC)
+  - Power Centrality (PC)
+  - Information Centrality (IC)
+
+- **Prestige Indices** (for directed graphs, focusing on inLinks):
+  - Degree Prestige (DP)
+  - Proximity Prestige (PP)
+  -

src/content/docs/news/socnetv-15-released.md

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+---
+title: "SocNetV 1.5 Released"
+date: 2014-10-10
+description: "SocNetV v1.5 introduces weighted prominence scores, standardized centrality measures, connectedness reporting, and new datasets."
+tags:
+  - Network Analysis
+  - Prominence Scores
+  - Graph Connectedness
+  - Bug Fixes
+  - Datasets
+---
+
+A new version of SocNetV has just been released! Version 1.5 brings standardization, [many bug fixes](https://launchpad.net/socnetv/+milestone/1.5), and exciting new features. Packages for Windows, Mac OS X, and Linux are available from the [Downloads](https://socnetv.org/downloads/) page.
+
+### Notable New Features
+
+- **Prominence Scores on Valued Networks**:
+  - A new SSSP-solver algorithm (Dijkstra) enables prominence indices on weighted networks.
+  - SocNetV asks whether to consider or invert weights, depending on their meaning (e.g., cost vs. votes).
+
+- **Standardized Centrality and Prestige Scores**:
+  - Scores are now standardized (0.0 to 1.0) where applicable.
+  - If no standardized formula exists, SocNetV normalizes by dividing the original score by the sum of all scores.
+
+- **Prominence Layouts Relative to Highest Score**:
+  - Visualization layouts (circular, level, and nodal size) are now based on the highest score in the network rather than theoretical maximums.
+
+- **Skip Isolates**:
+  - Option to omit isolates when computing prominence indices.
+
+- **Graph Connectedness**:
+  - SocNetV reports if the network is connected or has isolates and suggests fixes.
+
+- **CC Drops Isolates by Default**:
+  - Automatically drops isolate nodes to compute CC scores, avoiding user interruptions.
+
+- **New Datasets**:
+  - Stephenson and Zelen (1989): Network of 40 AIDS patients.
+  - Stephenson and Zelen (1989): IC test dataset (5 actors).
+  - Wasserman and Faust: Star, circle, and line graphs (7 actors).
+
+---
+
+### Bug Fixes
+
+The following bugs have been resolved in this release:
+
+- #1358678: Fix GDC calculation in weighted networks.
+- #379558: Force-directed algorithms produce poor layouts.
+- #1365028: Methods `isOutLinked` & `setOutLinked` do not consider relations.
+- #1365504: `centralityInformation()` should symmetrize the adjacency matrix.
+- #1366625: Clicking on an edge does not select the correct edge.
+- #1369171: Group IC calculation yields incorrect results.
+- #1371208: Incorrect power centrality scores.
+- #1364955: `vertices()` should report only enabled vertices.
+- #1369336: Pagerank prestige reports incorrect scores.
+- #1370528: SocNetV cannot build on non-x86 architectures.
+- #1364320: Remove SRS PDF and fix spelling errors in code.
+- #1364361: SocNetV does not remember the last directory used by the user.
+- #1378346: Cannot change size and value of a node.
+
+---
+
+Enjoy the new features and improvements! If you spot any bugs, please [report them here](https://socnetv.org/bugs/). Have fun!

src/content/docs/news/socnetv-as-intelligence-source-for-dolphin-site-operators.md

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+---
+title: 'SocNetV as "Intelligence" Source for Dolphin-Site Operators'
+date: 2015-05-04
+description: "Explore how SocNetV can analyze virtual social networks and provide insights for Dolphin and Trident platform operators."
+tags:
+  - Dolphin
+  - Trident
+  - Social Network Analysis
+  - Intelligence
+---
+
+Can you use **SocNetV** to analyze a virtual "social network"? Yes, you can! For instance, you could analyze social interactions (e.g., mentions) between "friends" in a virtual network. Although SocNetV cannot directly grab data from private networks (its built-in web crawler is limited to publicly accessible data), if you extract the network data yourself and transform it into **GraphML** format, SocNetV can load and visualize the virtual network for analysis.
+
+This approach is particularly useful for platforms like [**Dolphin**](http://www.boonex.com), an open-source platform for social networks, and its mobile-friendly sibling [**Trident**](http://www.online.me). These platforms support social connections, conversations, locations, and other social graph-related data types, which can be analyzed using SocNetV based on operator needs.
+
+### Example Use Case
+
+Imagine an airline company launches a social network for its clients. By using SocNetV to analyze connections, discussion trends, and user posts, the company could:
+
+- Identify which routes are in demand.
+- Plan and optimize scheduling based on social data.
+- Target specific user segments with special offers.
+- Advertise these offers directly within the social network.
+
+This innovative application of SocNetV showcases its potential as an "intelligence" source for network operators, enabling data-driven decision-making and enhanced user engagement.
+
+Kudos to the Dolphin and Trident teams for exploring this exciting use case for SocNetV!

src/content/docs/news/socnetv-v13-has-been-released.md

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+---
+title: "SocNetV v1.3 Released!"
+date: 2014-08-27
+description: "SocNetV v1.3 introduces support for multirelational networks, memory and speed optimizations, and improved UCINET import functionality."
+tags:
+  - Multirelational Networks
+  - Memory Optimization
+  - UCINET Import
+  - Network Visualization
+---
+
+A new version of **Social Network Visualizer** is available! SocNetV v1.3 introduces significant features, bug fixes, and optimizations.
+
+---
+
+### New Features
+
+- **Multirelational Networks**:
+  - SocNetV now supports networks with multiple types of ties between actors.
+  - When creating the first link, SocNetV prompts the user to name (or label) the new relation.
+  - Additional relations can be added by pressing the `+` button in the toolbar.
+  - Switch between relations using the arrow buttons in the toolbar.
+
+  ![Example Multirelational Network](https://socnetv.org/data/uploads/screenshots/socnetv-1.3-linux-sampson-dataset.jpg)
+
+- **Home Directory for Data**:
+  - All reports and data are now saved to `$HOME/socnetv-data`.
+
+---
+
+### Optimizations
+
+- **Memory and Speed Improvements**:
+  - SocNetV can handle networks with up to 1,000 actors and 10,000 edges efficiently.
+  - Uses under 400MB of RAM for such networks, with significantly improved performance.
+
+- **UCINET Import Fixes**:
+  - Enhanced UCINET import functionality now supports multiple matrices.
+
+---
+
+### Downloads
+
+Source code, packages, and executables for Linux, Mac OS X, and Windows are available on the [Downloads](https://socnetv.org/downloads/) page.
+
+---
+
+Enjoy the new version of SocNetV!

src/content/docs/news/socnetv-v14-released.md

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+---
+title: "SocNetV v1.4 Released!"
+date: 2014-09-01
+description: "SocNetV v1.4 introduces node size layouts based on prominence scores, support for UCINET edgelist1 format, and new datasets."
+tags:
+  - SocNetV
+  - Network Analysis
+  - Prominence Scores
+  - UCINET Format
+  - Freeman's EIES
+  - Bug Fixes
+---
+
+Today is a fine day to release another SocNetV update. Version 1.4 brings consistency to the application by fixing many long-standing bugs (e.g., [#514264](https://bugs.launchpad.net/socnetv/1.x/+bug/514264) and [#713617](https://bugs.launchpad.net/socnetv/1.x/+bug/713617)) and adding exciting new features.
+
+### New Features
+
+- **Node Size Layouts Based on Prominence Scores**:
+  - SocNetV can now adjust node sizes to reflect a selected prominence index score.
+  - This feature supports all indices calculated by SocNetV, including Degree, Closeness, Influence Range Closeness, Betweenness, PageRank, Proximity, Eccentricity, and Power.
+
+- **Support for UCINET Edgelist1 Format**:
+  - SocNetV can now import edgelist1 UCINET format, for example:
+
+```plaintext
+dl
+N=48
+format=edgelist1
+data:
+1 2 4
+1 3 2
+1 6 2
+1 8 2
+```
+
+
+- **Updated Shortcuts for Node and Edge Removal**:
+  - Node removal: `Ctrl+Backspace`
+  - Edge removal: `Shift+Backspace`
+  - You can also click on a node and press `Ctrl+Backspace` to remove it.
+
+- **New Dataset**:
+  - Freeman's EIES networks are now included:
+    - Multirelational mode: 32 actors.
+    - Single relation mode: 48 actors.
+
+---
+
+### Bug Fixes
+
+This release addresses many longstanding issues, enhancing stability and usability. See the complete [ChangeLog](https://socnetv.org/ChangeLog) for more details.
+
+---
+
+### Downloads
+
+Source code, packages, and executables for Linux, Mac OS X, and Windows are available on the [Downloads](https://socnetv.org/downloads/) page.
+
+---
+
+Have fun!