Social media emerges as a mainstream communication means. It is used by people in all walks of life, employed in different disciplines and industries from trend prediction to business intelligence, from cybersecurity to behavior modeling. People share content, opinions, comment, like, tag, as well as connect old friends, meet new ones, and organize special interest groups. These user-generated activities help create various types of social media networks, generating various, heterogeneous sources of information otherwise not available through conventional media and communication channels. In this graduate course, we will introduce basic concepts and fundamental principles, learn the state-the-art research findings, study challenges indigenous to big social media data, and explore interdisciplinary solutions to social media analysis. We will study issues like public opinion, influence and intervention, sentiment analysis, privacy, trust, security, and reputation, examine social media applications in social mobility, cybersecurity, healthcare, education, and discuss intriguing open questions such as big data paradox, evaluation dilemma, and noise-removal fallacy. The ultimate goal of this graduate course is to sharpen problem solving skills of our graduate students, improve critical thinking capability, and explore novel research issues, paving way for generating startup ideas and conducting advanced research.
Prerequisites:
|
Line number:
|
Classroom and Hours:
|
|
Office Hours: TTh 4:15 - 5:15pm, BYE 566 |
TAs and Office Hours:Course TA: Jundong Li, jundongl@asu.edu, by appointment Project TA: Liang Wu,
wuliang@asu.edu, by appointment |
| Semester Duration: 8/17/2017 - 12/1/2017 | Please send emails to TAs for meetings and questions |
We will include below interesting links recommended by our students and others.
Last updated: 10/4/17
Maintained by Huan Liu
If you have comments or suggestions, email