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SocialNetwork Image Animator creates animations of network data
SoNIA (SocialNetwork Image Animator) is a Java-based package for visualizing dynamic or longitudinal network data and rendering it out as animations. The home page with examples is located at http://sonia.stanford.edu Documentation is at https://sourceforge.net/p/sonia/wiki/Main_Page/
A resource for political accountability; a compilation of statistics and information on Canadian Members of Parliament, and possibly other levels of government. The project includes the website code, as well as the tools used to extract the informati
JUNG provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network.
New version now available on GitHub: https://github.com/jrtom/jung/releases/tag/jung-2.1
ViSoR provides a visualization of several social indicators, statistics and crimes for the Ruhr Area in Germany. It allows users to view and compare particular suburbs or regions in this area.
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Book-A-Lyze is an open source web application for analysis and visualization of social structures at Facebook. The project is part of the study course “Media Management and Production” at the University of Applied Sciences, Kaiserslautern.
Goal of our project CSX (City Stats X) is to program a generic interface to visualize and present social data about a city. We will present this on the example of the city of Linz in Austria.
The web based system specially suited to manage the plants growth with a friendly blog-like interface. Organized and flexible statistics views, well organized database gathers together and develops the experience in gardening and horticulture.
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Diktyologia is software for investigating complex systems with advanced methods of network theory. The package allows for analysing statistical properties of directed intercausal networks that are represented in form of cy.prus XML files.
JWebPro: A Java tool that can interact with Google search and then process the returned Web documents in a couple of ways. The outputs can serve as inputs for NLP, IR, infor extraction, Web mining, online socialnetwork extraction/analysis applications.
W.H.A.T. is an analytic tool for Wikipedia with two main functionalities: an article network and extensive statistics. It contains a visualization of the article networks and a powerful interface to analyze the behavior of authors.
Analysis and interactive visualization of a web-based community. Supports different focuses on the given socialnetwork to present community groups to the user. Also specific information of each member is provided.