GUESS: a language and interface for graph exploration

作者: Eytan Adar

DOI: 10.1145/1124772.1124889

关键词:

摘要: As graph models are applied to more widely varying fields, researchers struggle with tools for exploring and analyzing these structures. We describe GUESS, a novel system exploration that combines an interpreted language graphical front end allows rapidly prototype deploy new visualizations. GUESS also contains novel, interactive interpreter connects the interface in way facilities exploratory visualization tasks. Our language, Gython, is domain-specific embedded which provides all advantages of Python new, specific operators, primitives, shortcuts. highlight key aspects context large user survey specific, real-world, case studies ranging from social knowledge networks distributed computer network analysis.

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