This paper addresses a new problem to infer an invisible fixer in an organization from communication (node discovery problem). Human-interactive annealing together with crystallization algorithm aims at inventing scenarios from the gap between prior understanding and observation. Four functions for ranking the relevance of the portion of observation, and two types of communication strength within an organization are studied. In the experiment, information relevant to identify an invisible fixer in an online decision-making environment is successfully retrieved.