News

SocNetV: Social Network Analysis and Visualization Software

SocNetV website gets a face lift

After 9 years of relying on pure html files for our web appearance, it was hight time to move the Social Network Visualizer website to a CMS platform with a decent look. For this, we chose the great open-source CMS called GetSimple, which is completely text-based, fast as a shark and user-friendly. The theme is a heavily modified "my-company [...] Read more

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 .