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A Framework For Community Identification in Dynamic Social Networks
Published on 2007-08-146835 Views
We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as “unusually densely knit” subsets of a social net
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Presentation
A Framework For Community Identification in Dynamic Social Networks00:04
Social Networks00:19
History of Interactions00:47
Community Identification02:15
The Question: What is Dynamic Community?03:49
Approach: Graph Model04:57
Approach: Assumptions pt 105:54
Approach: Color = Community06:35
Approach: Assumptions pt 1 (a)07:01
Approach: Color = Community (a)07:22
Approach: Assumptions pt 207:39
Costs pt 108:16
Approach: Assumptions pt 308:32
Costs pt 208:43
Approach: Assumptions pt 409:26
Costs pt 309:38
Problem Definition09:48
Model Validation and Algorithms 10:53
Southern Women Data Set11:47
Ethnography12:35
An Optimal Coloring: (α,β1,β2,γ)=(1,1,3,1)12:56
An Optimal Coloring: (α,β1,β2,γ)=(1,1,1,1)13:53
Conclusions14:51
Thank You15:26
Computational Population Biology Lab UIC15:29