SocNetV v1.9 released - bug fixes and speed increase

SocNetV: Social Network Analysis and Visualization Software

SocNetV v1.9 released - bug fixes and speed increase

SocNetV v1.9 released - bug fixes and speed increase

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 page.

The matrix inverse algorithm is now using LU decomposition which greatly improves the computation speed. This improvement also affects Information Centrality algorithm which runs now in 1/10 of the time needed in earlier SocNetV versions.

Also, version 1.9 brings a revamped PageRank Prestige algorithm. Up to 1.8 the PageRank algorithm was using the original Page&Brin formula which lead to different results. From this version, SocNetV uses the correct formula and computes comparable results.  Also, the initial PR score  of each node is now 1/N.

  Bugs closed:
  #1463069 wrong average distance when there are isolates
  #1365037 certain sparse matrices crash socnetv on invertMatrix method
  #1365582 centralityInformation() is slow when network N>100
  #1463095 edge filter works but the user cannot undo
  #1464422 wrong pagerank results
  #1464430 socnetv refuses to read pajek files not starting with *Network
  #1465774 edges do not always follow relations
  #1463082 edge color change is not taking place
  #1464418 socnetv crashes on pagerank computation on isolated nodes


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SocNetV Features

Explore the nice features of SocNetV to make
your social network research real fun!

  • Easy User Interface

    Navigate yourself and use the application either with the mouse or the keyboard.

  • File Formats

    Load and save to GraphML, but you can also import most network file formats (GML, Pajek, UCINET, GraphViz, Adjacency, EdgeList etc).

  • Network analysis

    Compute distances, eccentricity, connectedness, clique census, triad census, and Prominence indices (i.e. eigenvector, betweenness and information centrality, promixity prestige, pagerank and more)

  • Visualization

    Apply intuitive visualization layouts on undirected/directed graphs, based on prominence scores or force-directed models.

  • Famous networks

    Automatically recreate known social network datasets such as Padgett's Families

  • Random networks

    Create random networks using one of the supported models (scale-free, Erdős–Rényi, lattice, small worlds)

  • Web Crawler

    Easily visualize and analyze networks of linked web pages and sites through the built-in web crawler.

  • Multi-relational

    Work with multiple relations concurrently. SocNetV supports loading, editing and saving multirelational social networks.

  • Documentation

    Learn to work with SocNetV and make use of Social Network Analysis methods by reading our Manual

  • Free Software

    SocNetV is Free and Open-Source Software, use it everywhere. Have a feature request? Ask us!

Have fun with Social Network Analysis

Use the buttons to download Social Network Visualizer for your OS or to learn more about Social Network Analysis and Visualization reading the Manual .