0.25
0.5
0.75
1.25
1.5
1.75
2
The Role of Information Diffusion in the Evolution of Social Networks
Published on Sep 27, 201313112 Views
Every day millions of users are connected through online social networks, generating a rich trove of data that allows us to study the mechanisms behind human interactions. Triadic closure has been tre
Related categories
Chapter list
Why does Alice follow Bob?00:00
The Role of Information Diffusion in the Evolution of Social Networks00:25
Motivation00:43
Visualization01:02
Diffusion of Information in Social Media - 101:53
Diffusion of Information in Social Media - 201:55
The Attention Economy - 102:13
The Attention Economy - 202:28
How Attention Affects What We See - 102:59
How Information Propagates on the Network03:55
Concrete Example04:21
Two Key Ingredients04:40
Heterogeneous Distribution of Popularity05:50
How Attention Affects What We See - 206:05
Interaction between Dynamics of the Network and Dynamics on the Network - 106:20
Interaction between Dynamics of the Network and Dynamics on the Network - 206:48
Traffic Shortcut07:24
Dataset: Yahoo! Meme (April 2009 – March 2010)08:44
Notation - 109:42
Notation - 209:55
Notation - 310:19
Notation - 410:45
Notation - 511:02
Could this happen by chance? - 111:45
Could this happen by chance? - 211:46
Could this happen by chance? - 312:11
Preference for traffic-based shortcuts as users become more active12:38
The more posts we see from someone, the more we are likely to follow them13:05
Shortcuts are more efficient at carrying messages we see and report13:26
Maximum Likelihood Estimation - 113:57
Maximum Likelihood Estimation - 214:25
MLE single strategies - 114:44
MLE single strategies - 214:45
MLE single strategies - 314:52
MLE single strategies - 414:59
MLE single strategies - 515:04
MLE single strategies - 615:11
MLE combined strategies - 115:36
MLE combined strategies - 215:37
MLE combined strategies - 315:59
Maximum Likelihood - 116:13
Maximum Likelihood - 216:39
What We Observe17:27
Conclusion18:17
Thank You18:49