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(734) 647-8028
Applications: Behavioral Mining, Network Analysis, Text Mining Methodologies: Data Mining, Visual Analytics Relevant Projects: IARPA, NSF, Microsoft, Google, Adobe, Yahoo Connections:

Co-founder ICWSM

Past general chair WSDM

Kavli fellow

Eytan Adar

Associate Professor, School of Information

Affiliation(s):

Electrical Engineering and Computer Science

My work is at the intersection of data mining and human-computer interaction.  My research is focused on both modeling and the construction of new systems that leverage those models.  Current projects include mining large-scale social media systems (Twitter, Reddit), networks (e.g., academic citation graphs), text/networks (meme propagation, information extraction, news articles, political networks), and cross-cutting methods (link prediction, community detection).  Work on systems building includes new visualization systems (automated visualization, interactive machine learning, etc.), ranking systems (social feeds), and data-driven end-user support (end-user and developers).