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ATT: Analyzing Temporal Dynamics of Topics and Authors in Social Media
Published on Jul 19, 2011152898 Views
Understanding Topical trends and user roles in topic evolution is an important challenge in the field of information retrieval. In this contribution, we present a novel model for analyzing evolution
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Chapter list
ATT: Analyzing Temporal Dynamics of Topics and Authors in Social Media00:00
Motivation00:23
How do we model topic evolution?01:41
Why?01:54
Problem Understanding02:39
What is a Topic?04:20
Author-Topic-Time Model (ATT)05:57
Applications of Author-Topic-Time Model06:48
Experimental Dataset07:41
Topics Life Cycle and Associated Authors (CiteSeer dataset)09:29
Evaluation11:08
Author Similarity (Symmetric KL-Divergence)12:37
Summary and Future Work13:30
Thank you14:05