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International Conference on Social Intelligence and Technology 2013 (SOCIETY 2013)
May 8-9, 2013, State College, Pennsylvania, USA
Technical co-sponsorship with IEEE Computer Society Technical Committee on Intelligent Informatics
Co-sponsorship with International Network of Social Network Analysis (INSNA)
The International Conference on Social Intelligence and Technology (SOCIETY) is an interdisciplinary venue for scholars and practitioners from diverse fields, such as cognitive science, computer science, information science, social science, psychology, human-computer interaction, linguistics, security, public health, public policy, to come together to share and discuss the roles of analytics of mobile and social media data in improving our understanding about online social interactions between people and their impacts in addressing important societal problems such as health and security.
The conference feature keynote speeches, plenary talks, and panel discussions from leaders in social media analytics, with a panel focusing on social media analytics for health online community.
Keynote Speech 1
Mining Typed, Heterogeneous Social and Information Networks: Will This Be a Key to Social Intelligence Mining?
Jiawei Han, Abel Bliss Professor of Computer Science, University of Illinois at Urbana-Champaign, USA
Keynote Speech 2
Large-Scale Social Media Mining: Insights, Methods and Practice from Analyzing Billions of Facebook Users
Rong Yan, Research Scientist, Facebook, USA
Social Dynamics of Information, Kristina Lerman, University of Southern California, USA
Opportunities for Academic Search, C. Lee Giles, Penn State University, USA
Understanding Behavior in a Networked World via Social Media, Huan Liu, Arizona State University, USA
From Data to Social Behavior, Przemyslaw Kazienko, Wroclaw University of Technology, Wroclaw
Trust in Social Media, James Caverlee, Texas A&M University, USA
Social Media for Health, Chris Yang, Drexel University, USA
Social Influence Analysis in Large Social Networks, Jie Tang, Tsinghua University, PRC
Predicting User Attributes in Social Media, Jennifer Golbeck, University of Maryland, USA
Social Media Analytics for Online Health Community, Kenneth Portier, American Cancer Society, USA
More information about the program of the conference can be found at
*** Registration Site: https://sites.google.com/site/psusociety2013/registration ****
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