Skip to content
J·BJon BishopIndependent growth marketer

Advertising · Large-scale randomized in-vivo social-network experiment with peer-effect estimation.

Identifying Influential and Susceptible Members of Social Networks

Science · 2012

Sinan Aral, Dylan Walker

Summary

Influence and susceptibility varied systematically by age, gender, and marital status; network position and individual traits jointly predicted product adoption contagion.

For your marketing

Possible founder application

Use as a bounded example of identifying influential and susceptible members of social networks; compare its context and design with your own market before applying its result.

Reported result

What the study found

Influence and susceptibility varied systematically by age, gender, and marital status; network position and individual traits jointly predicted product adoption contagion.

Research question

What the authors investigated

Identifying Influential and Susceptible Members of Social Networks?

Design

Large-scale randomized in-vivo social-network experiment with peer-effect estimation.

Sample and setting

Approximately 12 million Facebook users and adoption of a commercial Facebook application.

Scope and transfer

Limitations to keep in view

The application, platform, and period are specific; peer effects may differ for other products, platforms, and social-network behaviors. The accessible publisher page was used for this listing; correction history was not independently checked.

Research sources

The directly fetched Science DOI page states that the study used large-scale in-vivo randomized experimentation with a representative sample of 12 million Facebook users. Publisher page was directly retrieved; detailed full-text methods were not independently verified.

Additional research source ↗

Prefer to write? Send Jon a message.