Graph discovery augments content with context:
- Content-based decision models consider an individual entity as a discrete unit of analysis. Entities have attributes such as age, income, and sex.
- Context-based decision models analyzing interdependencies between entities as in a social network, fraud network, or online community.
For example, graph discovery helps you:
- Target key customers for special offers by identifying influencer, bridge, and other social roles.
- Target high sentiment influencer for viral marketing campaigns.
- Target low sentiment bridge to prevent churn and community disconnection.
- Improve products by identifying clusters of users (sub-graphs) that have difficulty using the product due to localization issues.
- Increase product adoption or decrease churn by targeting more central members of social networks for special offers.
- Decrease revenue loss by identifying fraudulent actors in a network based on their patterns of interaction.
- Harness community effects to improve product recommendations, thereby increasing the likelihood of selling.