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Content and Causality in Influence Networks
Published on Aug 18, 20119748 Views
Many of us are interested in whether "networks matter." Whether in the spread of disease, the diffusion of information, the propagation of behavioral contagions, the effectiveness of viral marketing,
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Chapter list
Content and Causality in Influence Networks00:00
Invitation00:55
Ashton Kutcher01:55
Social03:34
This revolution will be tweeted04:00
Crisis response04:19
A lot of commercial interest04:34
Causality / Content (1)04:47
Causality05:06
Influence - Current Formalizations05:20
A Stricter Definition of "Influence"06:31
Implications of this Definition06:52
Causal Statistical Estimation08:43
Reflection and Endogeneity09:18
"Obesity is Contagious"09:49
Homophily10:33
"Everything is Contagious"11:25
Causal Estimation in Networks13:58
Dynamic Matched Sampling16:22
Distinguishing Influence from Homophily17:50
Exaggerated Homophily Amongst Early Adopters19:49
People standing in line for iPad220:26
Viral Product Design (1)20:55
Viral Product Design (2)22:04
Viral Feature Space23:24
The Setup24:44
Data25:37
Flixster - An Example Facebook Application (1)25:50
Flixster - An Example Facebook Application (2)26:03
Flixster - An Example Facebook Application (3)26:04
Flixster - An Example Facebook Application (4)26:16
Flixster - An Example Facebook Application (5)26:26
Flixster - An Example Facebook Application (6)26:54
Three groups27:05
Preventing Contamination and Leakage27:23
Conventional Approach in Observational Data28:46
Which Features Spread Contagion Best?30:48
Sustained Engagement31:35
Which Features Spread Contagion Best?33:06
Virtuous cycle33:21
Causality / Content (2)33:34
Content33:36
Content Gives ...33:49
Some Examples of Research34:09
Strengths of Weak Ties & Structural Holes34:27
Information Advantage35:05
A 40 year old assumption ...36:00
"The Diversity-Bandwidth Tradeoff"36:30
Information Environment Mediates Tradeoff38:34
Study Context - Executive Search39:54
Measuring Information Diversity40:03
Results41:06
Implications42:13
"The Cramer Effect" (1)44:18
"The Cramer Effect" (2)45:36
Causality / Content (3)49:54
Collaborators50:09
Thank You!50:21