**Ju-Sung (Jay) Lee is an Assistant Professor in the Department of Media and Communication at Erasmus University Rotterdam. **
His research interests lie at the nexus of social, communication, and semantic networks. He is heavily involved with accompanying methodologies such as statistics, network analysis, computer-aided text analysis, computational social science, and other digital methods. His publications have appeared in network and methodology journals such as Sociological Methodology, Computational Social Networks, Connections, and the Journal of Artificial Societies and Social Simulation. He is currently interested in textual discourse from organizations, media, and the public, pertaining to events of societal tension such as the recent financial crisis and the refugee crisis, and the associations between discourse structures and social and organizational behavior and networks.
Ju-Sung obtained his doctorate in quantitative sociology from Carnegie Mellon University in 2008. His dissertation explored methods of inferring adolescent social networks and substance use from national sample datasets in the United States. He also has a background in computer science (BSE, Princeton University) and organization and decision sciences (MS, Carnegie Mellon University).
Prior to joining the department, he was a postdoctoral researcher at the University of Twente's Department of Governance and Technology for Sustainability (CSTM) where he was involved in an NWO project titled “Digging into Data”, part of an international collaboration with universities in the U.S., Canada, and the U.K. There, he explored visualization and dimension reduction techniques for large multivariate outcomes arising from complex, computational agent-based models.
Before moving to the Netherlands, he was a research associate and postdoctoral researcher at the Center for Computational Analysis of Social and Organizational Systems (CASOS) at Carnegie Mellon University where he explored methodological issues surrounding networks, including digital communication, and delivered lectures and workshops on networks, text analysis, and computational social science.
Jay Lee, N Basov & A Antoniuk (2017) - A socio-semantic account of artistic communities: Structural position and involvement in meaning making
Jay Lee, R van Duinen & T Filatova (2015) - Micro and Macro Spatial Networks in Two Contexts: Collaboration and Interpersonal Risk Communication
A Nerghes, Jay Lee, P Groenewegen & I Hellsten (2014) - Shifting Discourses of the ECB and the Fed
Jay Lee & J Pfeffer (2014) - Approximating Network Measures for Large Scale Networks of Varying Size, Density, Typologies, and Sampling Levels.
Jay Lee & J Pfeffer (2014) - Measurement Accuracy in Samples of Online Communication Network
Jay Lee & K Carley (2013) - The Impact of Data Source Type on the Analysis of Extracted Semantic Networks
Jay Lee & Amanda Paz Alencar (2019) - Cultural values and context in news narratives: A comparative study of Dutch, Spanish and Irish television news - Mass Communication and Society
Jay Lee & A Nerghes (2019) - Shifts in perspectives and positions on Twitter: A socio-semantic study of the European refugee crisis - Poetics. Journal of Empirical Research on Culture, the Media and the Arts
A Nerghes & Jay Lee (2019) - Narratives of the refugee crisis: A comparative study of mainstream-media and Twitter - Media and Communication - doi: 10.17645/mac.v7i2.1983
Jay Lee, T Filatova, B Hassani-Mahmooei, A Ligmann-Zielinska, F Stonedahl, I Lorscheid, A Voinov, Z Sun & D Parker (2015) - Complexities of Agent-Based Model Output Analysis - Jasss. The Journal of Artificial Societies and Social Simulation, 18 (4)
A Nerghes, Jay Lee, P Groenewegen & I Hellsten (2015) - Mapping Discursive Dynamics of the Financial Crisis: A Structural Perspective of Concept Roles in Semantic Networks - Computational Social Networks - doi: 10.1186/s40649-015-0021-8
Jay Lee, KM Carley, BB Brewer & JA Verran (2012) - Simulating Nursing Unit Performance with OrgAhead: Strengths and Challenges - CIN: Computers Informatics Nursing, 30 (11), 620-626