Search Results for "social networks"
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Showing 10 open source projects for "social networks"
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JAS is a java library for creating agent based simulations. It features a discrete-event time engine, APIs for network simulation design, powerful yet easy-to-use implementations of Genetic Algorithms and Neural Networks.
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YANG (Yet Another Network Generator - Java) enables you to generate social networks given various social rules observed in the real population. Uses: generate realistic networks to be used in individual-centric models, teaching or benchmarking.
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weeOrg is a collection of java classes that can be used to analyze social networks and other social structures.
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FNA is a command line tool for creating and analyzing financial networks with concepts developed in social network analysis and network science. NOTE: the project has been moved to http://code.google.com/p/financial-network-analyzer/
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Egotistics is a social network analysis program that allows users to simultaneously explore multiple personal networks (called 'ego networks').
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Bitnets instantiates and operates on graphs and subgraphs of large complex networks, such as kinship networks. Bitnets consists mainly of a java library, a number of use examples and an interactive interpreted language interface.
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java tool to visualize data from ciao.de to show social networks in consumer-communtities and the statistic distribution of gender, age and communitypoints in the market
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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.
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Junto is a Java-based peer-to-peer framework which allows using, simulating, and testing different trust management models which can be employed in peer-to-peer networks. Junto is available for free under the terms of the GPL.
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ScenConnect shows scenarios as networks of situation and event tag sets, for fast comparisons. It links scenarios to tags, scores, and other metadata, creating situationals suitable for search, mining, machine learning, and planning.
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