en-de
en-es
en-fr
en-sl
en
en-zh
0.25
0.5
0.75
1.25
1.5
1.75
2
ATT: Analyzing Temporal Dynamics of Topics and Authors in Social Media
Published on 2011-07-19152928 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
Related categories
Presentation
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