Uncovering Social Influence with Neo4j 

Uncovering Social Influence with Neo4j 

Influence is the main fuel behind filtering information for building engaging feeds in any Social Network. Its clever combination with trust and reputation can generate exceptional revenue by keeping users hooked to a certain platform. Even simple approaches that only account for Likes and Comments produce remarkable results in terms of identifying Influence Empires. The key to such an analysis is choosing the right tools for processing highly-connected social data. This talk focuses on how graph databases are optimal for spotting viral content and the actors producing it.