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

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---
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title: "A Short Tour of the New Features in SocNetV v1.4"
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date: 2014-09-03
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description: "Explore the latest features and updates in SocNetV v1.4, including multirelational editing, memory optimizations, and new datasets."
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tags:
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- SocNetV
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- v1.4
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- multiple relations
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- multirelational editing
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- Freeman's EIES networks
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---
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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!
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![SocNetV v1.4: Erdos-Random-Social-Network](http://dimitris.apeiro.gr/wp-content/uploads/2014/09/socnetv-v1.4-erdos-random-social-network.jpg)
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*SocNetV v1.4: Erdos-Random-Social-Network*
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## Multirelational Editing
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One of the strongest new features in SocNetV v1.4 is **multirelational editing**. Now, you can:
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1. Load or create a network (e.g., friendship ties in a classroom).
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2. Add a new relation (e.g., "likes") using **Ctrl+Shift+N** or the `+` button.
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![SocNetV v1.4: Friendship Network](http://dimitris.apeiro.gr/wp-content/uploads/2014/09/socnetv-v1.5-20-kids-classroom-social-network-friendship.jpg)
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*SocNetV v1.4: Classroom Social Network - Friendship*
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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.
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![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)
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*Betweenness Centrality Visualization in a Circular Layout*
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## Loading and Saving Multirelational Networks
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- SocNetV now supports loading **multirelational networks** (e.g., UCINET formatted files).
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- However, when saving, each relation must be saved individually. This will be improved in future versions.
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For example, you can test this feature with the **Freeman’s EIES networks dataset**.
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![Freeman's EIES Networks](http://dimitris.apeiro.gr/wp-content/uploads/2014/09/socnetv-v1.4-freeman-EIES-networks-multirelational-open.jpg)
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*SocNetV v1.4: Freeman's EIES Networks*
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## Memory Optimizations
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SocNetV v1.4 is optimized for low memory consumption and speed:
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- Handles networks with **1000 actors and 10,000 edges** in seconds.
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- Consumes less than **400MB RAM**.
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![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)
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*Random Erdos-Renyi Network with 1000 actors and 40,000 edges.*
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## Additional Enhancements
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- Improved **visualization layouts** (circular and nodal size based on prominence indices).
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- Faster analysis of large datasets with new tools like **Triad Census** and **Geodesic Matrix**.
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![Geodesic Matrix Analysis](http://dimitris.apeiro.gr/wp-content/uploads/2014/09/socnetv-v1.6-freeman-EIES-networks-multirelational-geodesics.jpg)
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*Geodesic Matrix Analysis*
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## Bugs Fixed
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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.
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---
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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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---
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title: "Social Network Analysis Using Social Network Visualizer"
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date: 2016-05-13
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description: "Watch a YouTube video by Michael Axelsen exploring social network analysis using SocNetV."
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tags:
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- Social Network Analysis
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- Tutorial
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- YouTube
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image: "https://socnetv.org/data/uploads/screenshots/socnetv-19-youtubevideo.jpg"
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---
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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**.
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<iframe
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width="560"
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height="315"
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src="https://www.youtube.com/embed/ti-98tIzfEk"
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frameborder="0"
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allowfullscreen>
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</iframe>

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

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

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

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---
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title: "SocNetV 1.1 Released"
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date: 2014-08-01
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description: "SocNetV 1.1 focuses on bug fixes, enhancing stability and usability. Download binaries for Windows, Mac OS X, and Linux."
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tags:
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- Release
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- Mac OS X
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- Bugfixes
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---
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**SocNetV version 1.1** has just been released! This version focuses on fixing numerous bugs identified since version 1.0.
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---
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## Highlights
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This release is a **bugfix update**, improving stability and functionality. For a complete list of fixes, refer to the [ChangeLog](https://socnetv.org/ChangeLog).
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---
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## Downloads
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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.
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---
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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"
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date: 2014-08-18
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description: "SocNetV 1.2 introduces a major GUI overhaul, new prominence measures, visualization layouts, and significant bug fixes."
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tags:
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- Release
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- GUI
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- Prominence
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- Centrality
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- Prestige
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---
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**SocNetV version 1.2** has been released! This update brings a major GUI overhaul, new prominence measures, advanced visualization layouts, and numerous bug fixes.
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---
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## Highlights
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### Redesigned Conceptualization of Prominence
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SocNetV now distinguishes between **Centrality indices** and **Prestige indices**, following frameworks by Wasserman & Faust and Knoke & Burt:
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- **Centrality Indices** (for undirected graphs or outLinks in digraphs):
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- Degree Centrality (DC)
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- Closeness Centrality (CC)
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- Influence Range Closeness Centrality (IRCC)
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- Betweeness Centrality (BC)
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- Stress Centrality (SC)
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- Eccentricity Centrality (EC)
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- Power Centrality (PC)
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- Information Centrality (IC)
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- **Prestige Indices** (for directed graphs, focusing on inLinks):
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- Degree Prestige (DP)
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- Proximity Prestige (PP)
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-

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

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---
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title: "SocNetV 1.5 Released"
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date: 2014-10-10
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description: "SocNetV v1.5 introduces weighted prominence scores, standardized centrality measures, connectedness reporting, and new datasets."
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tags:
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- Network Analysis
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- Prominence Scores
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- Graph Connectedness
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- Bug Fixes
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- Datasets
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---
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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.
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### Notable New Features
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- **Prominence Scores on Valued Networks**:
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- A new SSSP-solver algorithm (Dijkstra) enables prominence indices on weighted networks.
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- SocNetV asks whether to consider or invert weights, depending on their meaning (e.g., cost vs. votes).
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- **Standardized Centrality and Prestige Scores**:
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- Scores are now standardized (0.0 to 1.0) where applicable.
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- If no standardized formula exists, SocNetV normalizes by dividing the original score by the sum of all scores.
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- **Prominence Layouts Relative to Highest Score**:
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- Visualization layouts (circular, level, and nodal size) are now based on the highest score in the network rather than theoretical maximums.
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- **Skip Isolates**:
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- Option to omit isolates when computing prominence indices.
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- **Graph Connectedness**:
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- SocNetV reports if the network is connected or has isolates and suggests fixes.
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- **CC Drops Isolates by Default**:
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- Automatically drops isolate nodes to compute CC scores, avoiding user interruptions.
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- **New Datasets**:
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- Stephenson and Zelen (1989): Network of 40 AIDS patients.
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- Stephenson and Zelen (1989): IC test dataset (5 actors).
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- Wasserman and Faust: Star, circle, and line graphs (7 actors).
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---
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### Bug Fixes
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The following bugs have been resolved in this release:
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- #1358678: Fix GDC calculation in weighted networks.
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- #379558: Force-directed algorithms produce poor layouts.
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- #1365028: Methods `isOutLinked` & `setOutLinked` do not consider relations.
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- #1365504: `centralityInformation()` should symmetrize the adjacency matrix.
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- #1366625: Clicking on an edge does not select the correct edge.
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- #1369171: Group IC calculation yields incorrect results.
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- #1371208: Incorrect power centrality scores.
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- #1364955: `vertices()` should report only enabled vertices.
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- #1369336: Pagerank prestige reports incorrect scores.
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- #1370528: SocNetV cannot build on non-x86 architectures.
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- #1364320: Remove SRS PDF and fix spelling errors in code.
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- #1364361: SocNetV does not remember the last directory used by the user.
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- #1378346: Cannot change size and value of a node.
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---
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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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---
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title: 'SocNetV as "Intelligence" Source for Dolphin-Site Operators'
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date: 2015-05-04
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description: "Explore how SocNetV can analyze virtual social networks and provide insights for Dolphin and Trident platform operators."
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tags:
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- Dolphin
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- Trident
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- Social Network Analysis
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- Intelligence
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---
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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.
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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.
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### Example Use Case
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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:
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- Identify which routes are in demand.
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- Plan and optimize scheduling based on social data.
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- Target specific user segments with special offers.
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- Advertise these offers directly within the social network.
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This innovative application of SocNetV showcases its potential as an "intelligence" source for network operators, enabling data-driven decision-making and enhanced user engagement.
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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!"
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date: 2014-08-27
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description: "SocNetV v1.3 introduces support for multirelational networks, memory and speed optimizations, and improved UCINET import functionality."
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tags:
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- Multirelational Networks
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- Memory Optimization
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- UCINET Import
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- Network Visualization
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---
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A new version of **Social Network Visualizer** is available! SocNetV v1.3 introduces significant features, bug fixes, and optimizations.
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---
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### New Features
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- **Multirelational Networks**:
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- SocNetV now supports networks with multiple types of ties between actors.
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- When creating the first link, SocNetV prompts the user to name (or label) the new relation.
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- Additional relations can be added by pressing the `+` button in the toolbar.
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- Switch between relations using the arrow buttons in the toolbar.
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![Example Multirelational Network](https://socnetv.org/data/uploads/screenshots/socnetv-1.3-linux-sampson-dataset.jpg)
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- **Home Directory for Data**:
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- All reports and data are now saved to `$HOME/socnetv-data`.
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---
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### Optimizations
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- **Memory and Speed Improvements**:
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- SocNetV can handle networks with up to 1,000 actors and 10,000 edges efficiently.
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- Uses under 400MB of RAM for such networks, with significantly improved performance.
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- **UCINET Import Fixes**:
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- Enhanced UCINET import functionality now supports multiple matrices.
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---
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### Downloads
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Source code, packages, and executables for Linux, Mac OS X, and Windows are available on the [Downloads](https://socnetv.org/downloads/) page.
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---
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Enjoy the new version of SocNetV!

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

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

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