2. Sociometric and Network Dynamics Analysis
Objective:
Map the topology and evolution of relational zones in social networks, both offline (e.g., teams) and online (e.g., forums, social platforms).
Methodology:
Collect interaction data: frequency, sentiment, valence, and role (initiator, receiver).
Apply dynamic network modeling to infer shifts in edge weights (representing relational intensity and trust).
Overlay zone classification metrics on network edges or nodes.
Use agent-based simulation to compare model predictions with empirical data (e.g., which ties move toward Yellow or Red zones under stress).
Expected Outcome:
Visualization of zone transitions as network flows.
Identification of critical nodes (individuals or ties that disproportionately influence network adaptation).
Emergence of clustered or fragmented zones, offering evidence for complexity-based dynamics.
3. Experimental Game-Theoretic Simulations
Objective:
Test how individuals adapt their relational stance under controlled strategic ambiguity and betrayal scenarios.
Methodology:
Design multiplayer iterated games (e.g., trust game, prisoner's dilemma) with evolving relational feedback.
Introduce zone-based framing (participants are told their partner is in "yellow zone" status).
Monitor shifts in decision-making strategies (cooperate, defect, re-engage, withdraw).
Integrate physiological or neurological data (if possible) for emotional regulation markers.
Expected Outcome:
Behavioral validation of zone-induced strategy shifts.
Correlations between zone transitions and adaptive or defensive tactics.
Refinement of weight coefficients (w_k) based on observed utility recalibrations.
4. Cross-Cultural Ethnographic Validation
