I am an assistant professor at School of Information Sciences, University of Pittsburgh. I am interested in studying social and political networks, as well as computational and visualization methods for understanding network data. My work has focused on large-scale community dynamics, high-dimensional (rich-context) social information summarization and representation. I have been using massive social media data and anonymized cellphone records to understand the collective responses with respect to political events and under exogenous shocks such as emergencies.
I am a computer scientist by training, and a computational social scientist working on questions like: "how would a society be informed?" "how do people share information, ideas and opinions in various contexts?" These questions have led me to explore analytical and computational techniques for mining heterogeneous, multi-relational, and semistructured data that can advance our understanding about structures in networked societies. I was a postdoctoral research fellow at the Institute for Quantitative Social Science, Harvard University and College of Computer and Information Science, Northeastern University.
Co-chairing The 1st International Workshop on Event Analytics using Social Media Data (EASM 2015), held in conjunction with ICDM 2015, in Atlantic City, NJ, US. We look forward to your participation!
05/2015 Paper published in Journal of the Royal Society Interface (J. R. Soc. Interface):
"Tracking employment shocks using mobile phone data".
We present novel methods to detect mass layoffs, identify individuals affected by them and predict changes in aggregate unemployment rates using call detail records (CDRs) from mobile phones.
The work was covered in WSJ Real Time Economics,
The Boston Globe,
02/2015 Announced the Special Issue on Big Scholar Data Discovery and Collaboration, IEEE Transactions on Big Data (TBD). This special issue will feature a Scholar Data Challenge. We look forward to your submission!
01/2015 Two papers accepted to appear in CHI 2015: "g-Miner: Interactive Visual Group Mining on Multivariate Graphs" and "Trajectory Bundling for Animated Transitions"
10/2014 Paper published in EPJ Data Science: "The ripple of fear, sympathy and solidarity during the Boston bombings". This article presents the first empirical findings that systematically understand the underlying mechanisms of inter-communal relations by examining how different cities reacted, in terms of fear and expressions of social support, to a recent mass violence event, the Boston Marathon bombings. The work was featured in Pitt News, ScienceDaily, Phys.org, and PsychCentral.
09/2014 I was invited to attend the 2014 Kavli Frontiers of Science symposium on December 5-7, 2014 in Tokyo, Japan, co-sponsored by the Japan Society for the Promotion of Sciences (JAFoS) and the National Academy of Sciences (NAS).
09/2014 Paper accepted to appear in ICDM 2014: "UnTangle: Visual Mining for Data with Uncertain Multi-labels via Triangle Map" (full paper acceptance rate: 9.7%)
08/2014 Paper accepted to appear in HICSS 2015: "What Makes Hyper-Local Online Discussion Forums Sustainable?" The paper got the Honorable Mention in HICSS.
06/2014 Paper accepted to appear in IEEE VAST 2014: "#FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media." The paper won the Honorable Mention Award in VAST.
» More on earlier updates.