Research focus
About the research
What can networks reveal about patterns hidden in large collections of connected data?
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The group works at the intersection of data mining, machine learning and network science, developing algorithms for analyzing physical and social phenomena. Applications of this research include fraud detection, cyber situational awareness, drug discovery and online discourse. The program also investigates ethical questions in machine learning and AI. Its algorithms have been incorporated into graph-analysis systems and open-source software, linking theoretical and algorithmic research with practical uses of networked data.
Selected publications
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People & alumni
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Sources & listing information
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