(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


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).