(734) 647-8028

Applications:
Behavioral Science, Networks, Social Sciences, Survey Research
Methodologies:
Data Mining, Data Visualization, Image Data Processing and Analysis, Time Series Analysis
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
EECS, College of Engineering

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).