Workshop on Behavior Informatics 2010

21-24 June, 2010 - Hyderabad, India

Studying Social Behavior in Social Media

Huan Liu

Prof Huan Liu, Arizona State University

The participatory Web expedites the prevalence of social media that offers a new kind of laboratory for behavior study. Along with unprecedented opportunities, we also clearly face many challenges. In this talk, we will examine the study of social behavior with this new means. In particular, we will discuss some projects that illustrate our endeavors to improve our understanding of social behaviors. We explore how one can efficiently gauge what’s happening in social media with an inordinate number of groups and growing; inquire whether one can disentangle the complicated connections among users to find their group memberships; and question the comparability between what we learn about social behavior in social media and what we can expect in the physical world. We benefit significantly from extant sociological theories and methodologies in carrying out interdisciplinary collaborative research that sheds complementary lights in the nascent study of behaviors in social media.

Short Bio Sketch

Dr. Huan Liu is a professor of Computer Science and Engineering at Arizona State University. Huan Liu has been recognized for excellence in teaching and research in Computer Science and Engineering at Arizona State University. His research interests are in data/web mining, machine learning, social computing, and artificial intelligence, investigating problems that arise in many real-world applications with high-dimensional data of disparate forms such as social media, modeling group interaction, text categorization, bioinformatics, and text/web mining. His well-cited publications include books, book chapters, encyclopedia entries as well as conference and journal papers. He serves on journal editorial boards and numerous conference program committees, and is a founding organizer of the International Conference Series on Social Computing,

Behavioral Modeling, and Prediction ( His professional memberships include AAAI, ACM, ASEE, SIAM, and IEEE. He can be contacted via