ICOS Presents:

"Information Diffusion in Online Communities"

Professor Lada Adamic

School of Information
University of Michigan

September 29, 2006

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Accompanying Slides - Start time given in (HH:MM:SS) Back to the ICOS Home Page

Introduction (00:00:00)

Talk Outline (00:02:29)

The political blogs (00:02:49)

Political blogs gaining in importance (00:03:04)

Related research on political blogs (00:03:48)

Calling all political blogs (00:05:20)

The larger political blogosphere (00:06:09)

Indegree distributions for political blogs (00:08:06)

Different rankings produce similar a-lists (00:08:45)

Top 20 liberal blogs (00:10:30)

Top 20 conservative blogs (00:11:28)

Methodology for detailed study of A-list blogs (00:11:54)

Network of A-List blogs (00:12:36)

Notable examples of blogs breaking a story (00:13:10)

Liberals and conservatives differ in the topics they discuss (00:14:36)

Political blogs as echo chambers (00:15:24)

Network of phrases found on the same blogs (00:17:00)

Political figures being discussed (00:19:56)

Mainstream media (00:20:51)

Mainstream media bias (00:21:38)

Insights from the political blogosphere (00:22:07)

Trying to bridge the divide (00:23:19)

The dynamics of viral marketing (00:36:50)

Using online networks for viral marketing (00:37:07)

The dynamics of viral marketing – Outline (00:38:50)

Information diffusion (00:39:30)

Motivation for viral marketing (00:40:03)

The web savvy consumer and personalized recommendations (00:41:09)

Is there still room for viral marketing? (00:42:04)

Incentivised viral marketing (00:42:25)

Product recommendation network (00:43:20)

The data (00:44:09)

Summary statistics by product group (00:44:34)

Viral marketing program not spreading virally (00:46:01)

Medical study guide recommendation network (00:47:33)

Measuring cascade sizes (00:48:19)

Cascades for DVDs (00:48:50)

Simple mode of propagating recommendations (00:49:13)

Simple mode of propagating recommendations (cont.) (00:49:56)

Participation level by individual (00:50:44)

Network effects (00:51:19)

Does receiving more recommendations increase the likelihood of buying? (00:51:27)

Does sending more recommendations influence more purchases? (00:58:01)

The probability that the sender gets a credit (00:59:42)

Multiple recommendations between two individuals (00:59:58)

Recommendation success by book category (01:04:39)

Professional and organized contexts (01:05:33)

Examples of communities (01:08:13)

Network diagram (01:09:49)

Examples of communities (01:10:08)

Telling the world vs. telling your friends (01:11:44)

Anime DVDs (01:13:55)

Regressing on product characteristics (01:14:49)

Marketing in the long tail (01:15:54)

The long tail of successful recommendations (01:16:31)

Conclusions (01:17:29)

Overall Observations (01:19:27)

Thanks! (01:19:44)

Questions (01:20:11)

Presentation of Tile (01:24:37)

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