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Social Network 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/
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.
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.
SONIVIS:Tool aims at analysing social (virtual) information spaces like Wikis. These spaces are investigated by using different network definitions (collaboration/information networks). Clustering algorithms and statistiscal analyses are provided.
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.
The Microdata Management Toolkit is a collection of tools for documenting, disseminating and preserving survey and census microdata The project is sponsored by the International Household Survey Network with financial support from the World Bank.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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 social network to present community groups to the user. Also specific information of each member is provided.