SocNetV v2.3 released!

SocNetV: Social Network Analysis and Visualization Software

SocNetV v2.3 released!

SocNetV v2.3 released!

The Social Network Visualizer project is happy to announce that a brand new version of our favorite social network analysis and visualization software application has been released. SocNetV version 2.3, released on Jul 5, has the eloquent codename "fixer" and it is now available for Windows, Mac OS X and Linux  from the Downloads page.

What the new version brings to the users? As usual with our odd numbered minor versions, this is a bugfix release. While v2.2 brought a lot of new and important features, v2.3 focuses on stability and fixing bugs here and there. Nevertheless, there are a couple of new features as well, which you can find interesting for your network analysis endeavours: 

  • Dyad and  Actor/Ego reciprocity: Reciprocity, denoted by 'r', is a network cohesion index. It measures the likelihood of vertices in a directed network to be mutually linked. SocNetV v2.3 supports two different methods to index the degree of reciprocity in a social network:
    - The arc reciprocity, which is the fraction of reciprocated ties over all actual ties in the network.
    - The dyad reciprocity which is the fraction of actor pairs that have reciprocated ties over all pairs of actors that have any connection.
    In a directed network, the arc reciprocity measures the proportion of directed edges that are bidirectional. If the reciprocity is 1, then the adjacency matrix is structurally symmetric.
    Likewise, in a directed network, the dyad reciprocity measures the proportion of connected actor dyads that have bidirectional ties between them.
    In an undirected graph, all edges are reciprocal. Thus the reciprocity of the graph is always 1.
    Reciprocity can be computed on undirected, directed, and weighted graphs, from the toolbox/menu: Analyze > Cohesion > Reciprocity. The report is opened and displayed as usual in HTML format in your preferred web browser.
  • Zero-weighted edge support: In ordinary SNA, zero-weighted edges are thought to be meaningless, but a user pointed to us that SocNetV was accepting and drawing zero-valued edges when opening edge list formatted files. Apparently this was due to a bug. In fact, the whole concept of an edge in SNA (and SocNetV) is that two actors i and j are "connected" (and an edge is drawn between them) only if there is a non-zero value at sociomatrix cell A(i,j). Thus, if A(i,j)=0 then the actors are considered not directly connected and no edge should be drawn between them. This assumption has implications in computations as well: all centrality and matrix manipulation algorithms of network analysis are implicitly computing their results using only non-zero (and some of them only positive) weighted edges between actors. Nevertheless, we understand that some users may need this functionality only for visualization reasons. Thus, we implemented this functionality in v2.3. Please note that this functionality will work (for the time being) only for weighted edge lists and only for simple visualizations.
  • Zero-weighted edge color selection: With regards to the above new feature, the Settings dialog allows the user to select default edge color for zero-valued edges. Here is a screenshot.



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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 .