Jensenaffiinit
Jensenaffiinit is a term used in theoretical discussions to describe a proposed mechanism by which agents in a network form affiliations based on Jensen-like assessments of expected benefit. The word combines Jensen with affinity to signal a mathematical framing of social ties. In the standard formulation, each agent evaluates the expected payoff of linking with another agent; if the evaluation reflects a convexity property analogous to Jensen's inequality, an affinity score increases and a tie may form. The concept is intended as a simplifying assumption for agent-based models and is not tied to a single empirically verified theory.
Origin and usage: The term appears in speculative writings and some online discussions in the 2000s and
Characteristics: Jensenaffiinit predicts clustering among agents whose convexity-adjusted payoff estimates align. The strength of affiliations depends
Applications and limitations: It has been used in simulations of social networks, collaborative filtering models, and
See also: Jensen's inequality, affinity, social network analysis, agent-based modeling.