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.
Category: Science (Page 2 of 5)
Here’s a series of 31 images taken with a Dino-Lite digital microscope. I won’t go in details about the original source of the images, since most of them are pretty obvious (i guess).
Some of them are of poor quality, due to trembling hand or low resolution of Kamoso (KDE’s picture retriever). Anyway, have fun…
After over a year of project inactivity I’m happy to announce that SocNetV now includes technical documentation for both users and developers. Vaggelis Motesnitsalis, undergraduate in the Computer Science Department of
Aristotle University of Thessaloniki, was kind enough to prepare and contribute a complete Software
Requirements Specification (SRS, see Wikipedia) document in PDF format for Social Network Visualizer.