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Rhythms of Information Flow through Networks
Published on Jul 07, 20119264 Views
The information we experience online comes to us continuously over time, assembled from many small pieces, and conveyed through our social networks. This merging of information, network structure, and
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Chapter list
Rhythms of Information Flow through Networks00:00
Information and Network03:58
Online (Social) Media05:16
Social Media: The New Picture06:34
Information: Heavily dynamic07:55
Plan for the talk08:42
Challenges and Opportunities09:44
Extracting Units of Information11:29
Information Cascades in Blogs14:02
Meme - tracking15:45
Finding Mutational Variants18:10
Cluster Volume over Time - 120:48
Cluster Volume over Time - 221:09
Interaction of News and Blogs23:26
Patterns of Information Attention25:57
Discovering Attention Patterns27:17
Clustering Temporal Signatures28:09
Patterns of Attention30:10
Analysis of Attention Patterns - 132:22
Analysis of Attention Patterns - 233:32
Predicting Information Attention - 134:05
Predicting Information Attention - 235:27
The Linear Influence Model - 136:39
The Linear Influence Model - 238:13
Estimating Influence Functions40:01
The model: Performance41:38
Analysis of Influence Functions43:35
Analysis of Influence44:30
Inferring the Diffusion Network45:39
Examples and Applications46:47
Inferring Diffusion Networks47:51
The optimization problem48:44
Information Diffusion Model50:41
Probability of a Propagation Tree - 153:55
Probability of a Propagation Tree - 254:59
NetInf: The Algorithm - 155:14
NetInf: The Algorithm - 256:24
Experiments: Synthetic data56:53
Experiments57:57
Diffusion Network58:38
Diffusion Network (zoom - in)58:51
Detecting information outbreaks01:00:12
Problem: Solving stories01:01:39
Blogs: Information epidemics01:02:24
Experimental results01:03:12
Conclusions and Connections - 101:03:59
Conclusions and Connections - 201:04:35
Further Qs01:05:20
Thanks01:06:09