Research
Understanding digital communities as complex systems
Every existing analytics tool treats human interaction as data to be counted. BIE treats human interaction as behavior to be understood. The research behind the system.
Areas of Focus
Three domains of inquiry
Behavioral Ontology
Developing structured taxonomies for classifying digital interaction patterns. Defining the vocabulary and frameworks that make behavioral signals legible, measurable, and comparable across communities and platforms.
Community Dynamics
Studying how digital communities evolve, stabilize, fragment, and collapse over time. Identifying the structural indicators that distinguish healthy adaptation from irreversible deterioration.
Influence Modeling
Mapping the real influence structures within communities — not who holds a title, but who shapes emotional tone, who bridges otherwise separate groups, and who represents a structural dependency risk.
Publications