Skip to content
SocNetV SocNetV
News

News

SocNetV v3.4 Released

Dimitris

SocNetV v3.4 Screenshot

SocNetV v3.4 released! 🎉

We are happy to announce the release of SocNetV v3.4, the latest version of our cross-platform social network analysis and visualization software.

This release focuses on stability and correctness, with a comprehensive overhaul of progress/cancel handling across all computation paths, significant parser and layout fixes, and the completion of the IO/Parser architectural refactor started in v3.3.

🔍 What’s New in SocNetV v3.4?

⏹ Comprehensive Cancel support in progress dialogs (#52)

This has been one of the longest-standing issues in SocNetV. In v3.4, the Cancel button in progress dialogs now works correctly and consistently across all computation paths:

  • Centrality and prestige computations
  • Reachability and walks
  • Matrix and report generation
  • Layout algorithms (including Kamada-Kawai)
  • Clique census and subgraph construction
  • All random network generators (Erdős–Rényi, Small-World, Scale-Free, Regular, Lattice, Ring-Lattice)

📐 Force-directed layout fixes

  • Fixed division-by-zero, NaN/Inf, and logic errors in the Kamada-Kawai layout (#198)
  • Fixed Fruchterman-Reingold simmering temperature derivation from canvas size (#199)
  • Faithful reimplementation of the Eades (1984) Spring Embedder (#207)
  • Batched node position emissions in all force-directed layouts for smoother rendering (#205, #206)

📥 Parser and IO fixes

Many import/export edge cases resolved:

  • Pajek *Matrix header parsing for relation labels (#188)
  • Pajek multirelational export as *Matrix blocks (#184)
  • Normalized quoted relation names in Pajek headers (#185)
  • Inline GML node/edge block parsing (#186)
  • Arc doubling when loading undirected DOT graphs (#187)
  • Platform-dependent weighted=true from uninitialized variable in DOT parser (#189)
  • Two-mode sociomatrix import now correctly handled in the parser (#15)

📊 Centrality fixes

  • Fixed eigenvector centrality isolate reset and N==0 handling (#202)
  • Fixed Information Centrality isolate handling and degenerate cases (#201)
  • Fixed clustering coefficient computation for directed networks (#58)
  • Fixed wrong weighted flag when switching relations (#82)

🏗 Completed IO/Parser refactor (WS4)

The architectural refactor of the IO/Parser layer, started in v3.3, is now complete:

  • The monolithic parser.cpp (~5500 LOC) has been split into focused per-format modules: edgelist, adjacency, UCINET DL, DOT, GML, Pajek, GraphML
  • An explicit IGraphParseSink mutation surface replaces the old Qt signal fan-out
  • GUI and headless (socnetv-cli) loading paths now share an identical, deterministic mutation pipeline

🧪 Expanded regression harness

  • New io_roundtrip kernel (schema v5) for IO/parser regression protection
  • Many new golden comparison cases and small deterministic test networks
  • New helper scripts: run_io_roundtrip_shipped_datasets.sh, run_golden_io_roundtrip.sh

🌐 i18n

  • Added update_translations.sh script for maintainers
  • Updated DE and ES translation files

🛠 Build and packaging

  • Debian packaging switched to CMake build system
  • RPM spec updated for CMake (Fedora, openSUSE, Mageia)
  • CMake now generates .qm translation files via qt_add_lrelease

We’d like to thank our contributors and users for reporting issues, testing fixes, and helping SocNetV improve with every release. 🙏

Download SocNetV v3.4 from our Download page and let us know what you think!

Happy analyzing!
— The SocNetV Team

SocNetV v3.3 Released

Dimitris

SocNetV v3.3 Screenshot

SocNetV v3.3 released! 🎉

We are excited to announce the release of SocNetV v3.3, the latest version of our cross-platform social network analysis and visualization software.

This release focuses on robustness and long-term maintainability, with major improvements under the hood — while also adding a useful new feature for researchers working with centrality and prestige.

🔍 What’s New in SocNetV v3.3?

🧱 Major internal refactor: Graph is now a façade SocNetV’s Graph has been refactored into a façade/coordinator, with functionality split into focused modules under src/graph/*.
This makes the codebase easier to extend and safer to evolve without breaking behavior.

📏 DistanceEngine stabilized + deterministic regression guardrails We extracted and stabilized DistanceEngine, and added:

  • deterministic “golden” regression outputs
  • performance benchmark guardrails to help keep refactors honest over time

🧪 New headless regression harness: socnetv-cli v3.3 introduces socnetv-cli, a modular regression harness designed to protect algorithmic correctness during refactors. It supports schema-versioned JSON outputs and committed baselines, with kernels for:

  • distance (v1)
  • reachability (v2)
  • walks matrix (v3)
  • prominence (v4)

🎯 New feature: filter vertices by centrality & prestige indices You can now filter vertices based on their centrality and prestige scores — a great way to focus analysis on the most important actors in your networks.

filter vertices by centrality

📥 Import / parsing fixes A lot of edge cases were fixed to make importing more reliable:

  • Pajek mixed files with overlapping *Arcs/*Edges blocks
  • UCINET/DL edge cases (line wrapping, diagonal handling)

🧮 Walks computation fixes Fixes in walksBetween() and walks-matrix parameters improve correctness and consistency of walk-based measures.

🛠 Build, packaging, and UI polish

  • cross-platform build & packaging fixes (Qt6/CMake, Debian packaging updates, openSUSE spec fixes, macOS arm64 linker fix)
  • UI polish for disabled widgets and checkbox/radio styling

We’d like to thank our contributors and users for reporting issues, suggesting features, and helping SocNetV improve with every release. 🙏

Download SocNetV v3.3 from our Download page and let us know what you think!

Happy analyzing!
— The SocNetV Team

SocNetV v3.2 Released

Dimitris

SocNetV v3.2 Screenshot

SocNetV v3.2 released! 🎉

We are excited to announce the release of SocNetV v3.2, the latest version of our cross-platform social network analysis and visualization software.

This new release introduces some powerful features and important improvements aimed at enhancing your research workflows and making network modeling even easier.

🔍 What’s New in SocNetV v3.2?

🧩 Custom node attributes (metadata)
You can now define and manage custom metadata for nodes directly through the Node Properties dialog. This allows for a more flexible and descriptive representation of your network data — great for researchers who want to attach additional information to each actor.

📊 Node labels in adjacency matrix files
SocNetV v3.2 introduces support for node labels when reading adjacency matrix-formatted files. That means better interoperability with external tools and datasets, and no more guessing who node “3” is supposed to be.

🔧 A modernized build system
We’ve moved to a CMake-based build system, which simplifies compilation and packaging across platforms. Whether you’re building from source on Linux, macOS, or Windows, the process is now more standard and maintainable.

🎯 Updated Filter Edges by Weight
The Filter Edges by Weight functionality has been revamped for improved usability and consistency. It’s now easier to focus on the strongest (or weakest) connections in your networks.

🐛 Tons of bug fixes
From UI tweaks to core algorithm improvements, v3.2 resolves numerous bugs reported by our users. You can explore the full list of closed issues in the GitHub milestone.

We’d like to thank our contributors and users for reporting issues, suggesting features, and helping us improve SocNetV with every release. 🙏

Download SocNetV v3.2 from our Download page and let us know what you think!

Happy analyzing!
— The SocNetV Team

SocNetV v3.1 Released

Dimitris

SocNetV v3.1 Screenshot

Description

The Social Network Visualizer project announces a new version of our favorite SNA application. SocNetV v3.1 is the first Qt6-only release and brings many improvements and bug fixes.

What’s New in v3.1

  • Improved Performance: Faster large file loading and quicker responsiveness with large nets (greater than 20,000 edges), while having a reduced memory footprint.
  • Bug Fixes: Edge filtering now works as intended.

Availability

The new version is available for Windows, macOS, and Linux. Go to the SocNetV Downloads page to get it.

SocNetV v3.0 Released

Dimitris

SocNetV v3.0 is out now! It includes several performance improvements and new features to make social network analysis easier.

SocNetV v3.0 Screenshot

Description

The Social Network Visualizer project has released a brand-new version of our favorite SNA application. SocNetV v3.0 brings improved speed and responsiveness, bug fixes, and new command line parameters.

What’s New in v3.0

  • Improved Performance: Faster computations, as the Graph now runs on a separate thread.
  • Hardware-Accelerated Rendering: This version is the first to support hardware-accelerated (OpenGL) rendering of the networks on the canvas. This feature is enabled by default but can be disabled in Settings.
  • Web Crawler Enhancements: The Web Crawler has been improved to test for OpenSSL support in the OS, with user hints provided if OpenSSL is missing. Additionally, the delay between requests has been fixed.
  • Bug Fixes: A critical bug in weighted network centrality computations has been resolved (see #123).

Special Note

To run SocNetV v3.0 AppImage on Fedora 34 (which uses Wayland by default), use the following command:

env GDK_BACKEND=x11 ./SocNetV-3.0-dev-x86_64.AppImage

For Fedora/openSUSE users, you can get a proper package from our OBS repos.

Availability

The new version is available for Windows, macOS, and Linux. Go to the SocNetV Downloads page to get it.