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Social Data Analysis Seminar
Social data is recognized as an important data resource in today’s information oriented society. Exploring events/concepts/topics/features from social data is an emerging research methodology used to gain rich insights into global social contexts.
The Center for Digital Humanities and the Institute for Digital Research and Education will be hosting a special seminar on Social Data Analysis. Join us to participate in a discussion with researchers from UCLA and Japan who will present their latest research methods on social data analysis.
Moderator: Todd Presner, Ph.D. (Professor and Chair, Digital Humanities Program, UCLA)
Schedule:
10:00-10:10 |
Opening Remarks (Todd Presner, Ph.D.) |
10:10-10:30 |
How Mainstream is Twitter? Mining the Baltimore Protests (Allison Hegel) |
10:30-10:50 |
Trend Mining from Millions of Tweets after the East Japan Great Earthquake (Takako Hashimoto, Ph.D.) |
10:50-11:10 |
User Attention to Disasters in Social Media (David Shepard, Ph.D.) |
11:10-11:30 |
Analyzing Collusive Ties in Japanese Public Bids (Tetsuji Kuboyama, Ph.D.) |
11:30-11:50 |
Mining Twitter for HIV Behavioral Data (Sean Young, Ph.D.) |
11:50-12:10 |
Consistency Measures for Feature Selection (Kilho SHIN, Ph.D.) |
12:10-12:30 |
Discussion |
12:30-13:30 |
Closing and Lunch |