Structure- and Context-aware Network Data Analysis
- When:
- Thursday, August 2, 2012, 04:00 pm - 5:00 pm
- Where:
- 6th fl CR Large
- Speaker:
- Linhong Zhu
- Description:
- Postdoc Interview TalkHost: Sofus Macskassy
Abstract: Large scale real-world network data such as social and information networks are ubiquitous. Most of the studies of such social and information networks aim to find structural patterns such as detecting clusters or communities. However, in most networks, and especially in social networks, nodes have a rich set of attributes (e.g., age, gender) associated with them, which are not fully used in traditional network data analysis. This talk briefly introduces three different network analysis methods: structure-based network analysis, context-based network analysis, and a structure-and context-aware network analysis. As a proof-of-concept, for each method, this talk presents an individual task and its approach to illustrate more about the interactions between the network structure and the content information.
Bio: Linhong Zhu is currently a scientist-I at Institute for Infocomm Research. She got her B Eng. Degree in Computer Science from University of Science and Technology of China in 2006 (2002-2006) and received her PhD Degree in Computer Engineering from Nanyang Technological University, Singapore(2006-2011). Her research interests focus on Large-scale network analysis (especially for social networks, mobile and communication networks), sentiment analysis, and spam detection. As a junior researcher, she has published a number of high-quality papers in SIGMOD, TODS, SIGKDD, and Inf. Systems.
