I am an Assistant Professor at the iSchool at the University of Illinois at Urbana-Champaign (UIUC), and an affiliate at the the Information Trust Institute. I earned my PhD (thesis) at Carnegie Mellon University, School of Computer Science.
My research is at the nexus of network analysis, natural language processing and machine learning. In my empirical work, I study networks from the business, science and geopolitical domain. I am particularly interested in covert information and covert networks. In my lab, we develop and advance computational solutions that help people to better understand the interplay and co-evolution of information and the structure and functioning of socio-technical networks. In working towards this goal, we develop, adapt and analyze methods and technologies for extracting information about networks from text corpora and considering the content of information for network analysis. We bring our solutions into real-world context to solve here and now problems - currently mainly related to impact assessment.
News and Highlights from our lab
- New journal paper: Kim J, Diesner J: Less than expected: Over-time measurement of triadic closure in scientific collaboration networks, accepted for publication in Journal for Social Network Analysis and Mining (SNAM).
- ACM CSCW 2017 paper: Rezapour R, Diesner J (2017) Classification and Detection of Micro-Level Impact of Issue-Focused Films based on Reviews.