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Non-Parametric Scan Statistics for Event Detection and Forecasting in Heterogeneous Social Media Graphs
Published on Oct 07, 20142340 Views
Event detection in social media is an important but challenging problem. Most existing approaches are based on burst detection, topic modeling, or clustering techniques, which cannot naturally model t
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Chapter list
Non-Parametric Scan Statistics for Event Detection and Forecasting in Heterogeneous Social Media Graphs00:00
Why Can We Detect & Forecast Events from Social Media?00:14
Disease Event Signals on Twitter01:03
Elephant And The Blind Men - 102:11
Elephant And The Blind Men - 202:35
Elephant And The Blind Men - 302:45
Twitter Heterogeneous Network03:27
Twitter Heterogeneous Network (Example)04:20
Node Attributes04:36
Research Questions04:54
Summary of Our Major Contributions05:31
Two Stage Empirical Calibration Process - 106:04
Two Stage Empirical Calibration Process - 207:08
Two Stage Empirical Calibration Process - 308:25
Nonparametric Scan Statistics08:53
Berk-Jones (BJ) Statistic10:17
Nonparametric Graph Scanning - 111:09
Nonparametric Graph Scanning - 211:21
Nonparametric Graph Scanning - 311:38
Nonparametric Graph Scanning - 411:42
Nonparametric Graph Scanning - 511:51
Nonparametric Graph Scanning - 612:16
Nonparametric Graph Scanning Algorithm - 112:18
Nonparametric Graph Scanning Algorithm - 212:28
Nonparametric Graph Scanning Algorithm - 312:29
Nonparametric Graph Scanning Algorithm - 412:31
Experimental Evaluations13:25
Experiment Settings13:42
Twitter Dataset for Hantavirus Outbreaks14:09
Twitter Dataset for Civil Unrests14:23
Comparison with Baseline Methods - 114:43
Comparison with Baseline Methods - 214:59
Conclusion15:20