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Deconvolution of Networks into Communities
Published on Sep 27, 20134953 Views
Activity of millions of humans on the Web leaves massive digital traces, that can be naturally represented and analyzed as complex dynamic networks of human interactions. Today the Web is a 'sensor' t
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Chapter list
Deconvolution of Networks into Communities00:00
Networks and Communities00:12
Basis for Community Formation00:59
Strength of Weak Ties - 102:47
Strength of Weak Ties - 203:29
Overlapping Communities03:43
Ground-truth Communities - 104:50
Ground-truth Communities - 206:59
Communities as Tiles!08:01
Connections to SocSci09:00
Present Methods Fail - 110:18
Present Methods Fail - 212:20
New Model: AGM12:37
AGM: Dense Overlaps14:28
Affiliation Graph Model14:44
Deconvolution to Communities15:24
MAG Model Fitting16:03
Example: Facebook Ego-Net16:55
Experiments: Ground-truth17:59
Experiments: Meta-data18:19
Experiments: PPI Nets18:28
Connections: Core-Periphery18:41
Communities and Core-Periphery19:24
Explanation20:18
Further Discoveries21:06
Primary and Secondary Cores21:50
Data and Code: http://snap.stanford.edu22:37