WorkResearchPersona Profile

Research / 2025

Persona Profile

An interactive psychological network model joining cognitive structure, trait frameworks, and emotional transitions.

A six-month research interface that reframes persona assessment as a graph of connected cognitive and emotional signals.

Persona Profile cognitive-semantic network with colored communities and hubs
The graph makes hubs, communities, bridges, and isolated concepts visible at once.
Role
Research systems builder
Timeframe
2025
System
Research
  • network analysis
  • Big Five
  • Markov chains
  • TypeScript
  • research UX
  • hiring intelligence

The system in context.

Persona Profile maps cognitive and emotional patterns into a network whose hubs, bridges, clusters, and isolated nodes can be inspected. Rather than reducing a person to one score, the interface shows how signals relate and which concepts organize the graph.

The preserved research report combines network metrics with the Five-Factor Model, Extended Traits, Primal World Beliefs, and Markov-chain emotional dynamics. A related public repository explores the model as an alternative hiring-intelligence surface.

What shipped

  • Preserves an interactive 200-node cognitive-semantic network and its graph metrics.
  • Triangulates Big Five, Extended Traits, and Primal World Beliefs in one report.
  • Models emotional-state transitions with a Markov-chain layer.
  • Connects research analysis to a public neuro-hiring platform prototype.

The numbers, with their meaning intact.

network nodes
200

Node count reported by the preserved Persona Profile research interface.

network edges
5,276

Edge count reported by the preserved research interface.

average connections
52.76

Average connections per node reported in the project analysis.

From signal to shipped system.

  1. Represent the mind as a network

    Cognitive and emotional concepts become nodes whose relationships can be measured and explored.

  2. Read hubs, bridges, and communities

    Graph structure reveals organizing concepts and imbalances that a flat trait score would hide.

  3. Compare multiple psychological lenses

    Trait models and transition dynamics are layered onto the graph without presenting any one lens as definitive.