Visualization of network science experimentation results is generally achieved using stovepipe solutions tailored to specific experiments and performance metrics. Based on ZeroMQ, the US Army Research Laboratory (ARL) Visualization Framework presents a language-agnostic platform-independent approach to connecting data published by data sources to visualizations using a publish/subscribe mechanism and ZeroMQ. The framework provides for automated discovery of data sources by the visualization without prior knowledge of the data sources. This report documents the ARL Visualization Framework system design and specific details of its implementation.
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