SocNetV v1.8 released with scale-free network generator

SocNetV: Social Network Analysis and Visualization Software

SocNetV v1.8 released with scale-free network generator

A new version of SocNetV has just been released with a couple of nice new features.

First of all, there is an new clique computation routine with a revamped report. The new "clique census" report includes aggregate counts of cliques (up to clique number 4), along with disaggregation by vertex and co-membership information.

Another new feature is the generation of scale-free random networks/graphs. SocNetV generates random scale-free networks of n nodes according to the Barabási–Albert (BA) model which uses a preferential attachment mechanism.

The algorithm starts with m0 connected nodes (default: 1). In each step, it adds a single new node with m edges to existing (old) nodes. The probability that the new node will connect to an existing node i is:



α the initial 'attractiveness' of each node,
di the degree of node i
jdj the sum of degrees of all pre-existing nodes j

if α=0 and p=1 then the preferential attachment is linear (BA model).


Version 1.8 brings also improvements in the generation of Erdős–Rényi random networks.  SocNetV already supported the G(n,p) model where edges are created with Bernoulli trials, but the new version includes the G(n,M) model as well. In this model, a new random network is created with n nodes and M edges. 

Also, in the new version there are new advanced dialogs for easier random network generation: Scale-free, Erdos-Renyi, and Small-World.

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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 .