dimitris kalamaras

mathematics, social network analysis, free software…

Category: Science (Page 1 of 5)

SocNetV v2.1 “fixer” released

Your favorite social network analysis & visualization free software project, Social Network Visualizer, has released a new version. SocNetV v2.1 has the quite eloquent codename “fixer” and it is available for Windows, Mac OS X and Linux from the project’s Downloads page. See some nice screenshots of SocNetV in action.

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SocNetV 2.0 released, built for stability & speed! – New features galore

I am happy to announce a new major release of Social Network Visualizer (SocNetV), the Social Network Analysis software. SocNetV v2.0 comes with a major code overhaul for stability and performance boost, improved GUI with a new panels layout, and nice new features for easier social network analysis, such as separate modes for graphs and digraphs, permanent settings/preferences functionality, edge labeling, recent files, keyboard shortcuts, etc. Also there are improvements in Force-Directed layouts, i.e. Fructherman-Reingold. The new version supports Windows, Linux and Mac OS X. Binary installers and source code packages are available from the project’s Download page. See below a walk-through of the new features.

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SocNetV version 1.9 is here, with LU decomposition and a Qt showcase!

Another release has just emerged from the depths of the Social Network Visualizer project! The new version 1.9 fixes important bugs and brings a vastly improved matrix inverse algorithm, thanks to the newly implemented LU decomposition. Of course, the new algorithm speeds up all other routines which depend on the inverse of a matrix, such as the Information Centrality algorithm.

Also, SocNetV v1.9 brings a revamped -and corrected- PageRank Prestige routine. Up to v1.8, the PageRank algorithm was using the original Page&Brin formula which lead to somewhat different results compared to other SNA applications. From this version, SocNetV uses the correct formula and computes comparable results (yes, we tested :)).

Source code, Windows zipped executables, Mac OS image and binary packages for major Linux distributions are as always available from the project’s Downloads page. Have fun with the new release!

Also, I am happy to report that the Qt project has added SocNetV to its ‘showroom’ page, along with many other nice Qt applications. There is also a showroom page dedicated to SocNetV with nice screenshots and a brief description of the application. Kudos to Kojo Tero, of Qt Company, for this!

SocNetV v1.7 brings Group Node Edit, new Properties dialog, file Previewer and more

A new SocNetV release hit the road today. Version 1.7 solves a number of bugs and brings lots of interesting and useful new features to our users. Binaries for Windows, Mac and Linux are already available in the project’s Downloads page. Here’s what’s new…

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SocNetV v1.6 released – a nice web crawler included!

The Social Network Visualizer project has just released its latest version 1.6. This new version brings back the web crawler feature, which has been disabled in the 1.x series so far, but in a much more improved form.

To start the web crawler, go to menu Network > Web Crawler or press Shift+C…

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SocNetV and online social networks

When I started developing SocNetV back in 2005 the term “social network” had a simple sociological meaning; any group of somehow “connected” actors, which might interest a sociologist to study and analyse in terms of their social properties and patterns (centralities, triads, etc). The actors can be of any type (humans, animals, organisations, companies etc) and so the cause of them being connected: working in the same place, belong to the same hive/group, mentioning each other, having commercial relations etc. Thus the main reason behind developing SocNetV was to create a simple “point and click” application that would enable the researcher to load his real-life gathered data and visualize/analyze the network properties. Or, in case the network was small enough, perhaps recreate it with some clicks on a canvas before analysing it. Back then it had never occurred to me that the same “social network” would be used now-days to describe online communities of million of users. As a matter of fact, I always thought that this strand of sociology is more meaningful in analysing relatively small groups rather than thousands of interconnected actors. Nevertheless, the term is used now this way too and this means that Social Network Analysis software such as SocNetV face a new problem: people not knowing anything about Social Network Analysis as a hybrid sociology-mathematics discipline think that all the software does is to “automatically” analyse any given online virtual community; who is connected to whom and how. Which is certainly not true.

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Network analysis of national soccer teams in FIFA World Cup 2014

This is the abstract of a paper published in the International Journal of Performance Analysis in Sport (Vol.15, No.1). In the paper we analyzed the network characteristics of successful and unsuccessful national teams that participated in FIFA World Cup 2014.

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