Social Network Visualizer (SocNetV) 1.5
Add nodes and create connections
Social Network Visualizer, also known simply as SocNetV, is a software utility that enables you to analyze such social constructs, but also create your own from scratch and study them using the available tools. Thus, you can either import the data from an outside source, or you can generate new networks, using the application's capabilities.
At its core, the utility is able to compute almost every network property you might be interested in, including path lengths, clustering coefficients and graph diameters. Moreover, you can also make use of the multitude of layout algorithms provided, as well as the random networks that can be quickly generated at the press of a button.
Import networks from external sources
In case you are working on a specific process and you need to use real-world data, the application allows you to load networks in various other formats, from GraphML, Adjaceny or Pajek. In addition, these can all be modified and adjusted directly into Social Network Visualizer, as well as integrated into your graphs.
The included web crawler available in the package can also be used to create networks, by using the links found on the website of your choosing. Thus, the algorithm is able to identify all the links and add them to a list, where they are recursively visited in order to generate a network for the web page in question.
A powerful social network analyzer
Due to the multitude of options regarding the generation or creation of a network, Social Network Visualizer offers you almost unlimited possibilities when it comes to analysis and graph creation. In addition, the user interface manages to remain friendly and intuitive, although the terms used throughout it can be a bit disarming if you are not familiar with the field.
Reviewed by Alexandru Dulcianu, last updated on November 24th, 2014
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- New feature: Prominence indices on valued networks:
- A new SSSP-solver algorithm has been implemented (Dijkstra) which allows SocNetV to compute prominence indices on weighted networks. When the graph edges are weighted, the application asks the user if it should consider weights in computations.
- Also, it asks the user if weights should be inverted or not. This question is crucial since edge weights can have different meanings. For instance they can denote cost or votes.
- If they denote cost, then the geodesics should be those paths with minimum value. But, if the weights denote votes, then the geodesics could be those path with maximum value. In the latter case, the user should choose to invert weights so that Dijkstra compute the desired paths and distances.
Application descriptionSocial Network Visualizer (SocNetV) is a software utility that enables you to analyze social networks and view details...