analysis & visualization of social networks |
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visone is a long-term research project (team), in which models and algorithms to integrate and advance the analysis and visualization of social networks are being developed. an important part of visone is the design and implementation of a software tool intended for research and teaching in social network analysis. It is specifically designed to allow experts and novices alike to apply innovative and advanced visual methods with ease and accuracy. main features of the visone software
newsPlease see the downloads section for the latest release news. May 27, 2011: visone.info has been completely renewed February 1, 2011: visone 2.6.3 is available. This version introduces the R console, Knime connection, import of link lists, dyad attributes and more. Please see the list of changes for more details. Please also note that visone's wiki is now online. Though not yet finished completely, it should greatly help new and experienced users alike to work with visone. September 13, 2010: visone 2.6.2 is available. This version resolves issues with the Rsiena integration. June 28, 2010: We have put online a short guide on how to use Rsiena from within visone. June 28, 2010: visone 2.6.1 is available. This version resolves issues introduced with version 2.6. Please see the list of changes for more details. June 17, 2010: visone 2.6 is available. This version introduces network collections, dynamic layout and animation functionality and RSiena integration in visone. Please see the list of changes for more details. June 14, 2010: visone.info is now hosted in Konstanz. historythe origins of the visone project lie in a single link between the Algorithms & Data Structures Group in the Department of Computer & Information Science, and the Domestic Politics & Public Administration Group in the Department of Politics & Management, both at the University of Konstanz. The project has since evolved into a network of collaborations, with members in several different universities.
supportwe gratefully acknowledge that the visone project is supported by Deutsche Forschungsgemeinschaft (DFG) under grant BR 2158/1-1. Initial funding was provided by Ausschuss für Forschungsfragen (AFF), Universität Konstanz. the current version of the visone software is build on top of the yFiles graph library from yWorks. The first version used LEDA, the Library of Efficient Data types and Algorithms from Algorithmic Solutions Software GmbH. |
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