In the context of advanced statistical modeling techniques and computer networks and communications, interaction analysis refers to the systematic examination of relationships, dependencies, or exchange patterns among entities represented within a network or interaction system [1]. It involves analyzing the structure and characteristics of interactions by modeling entities as nodes and their relationships or exchanges as links, with attention to the patterns, distributions, and statistical properties of these connections [1]. Interaction analysis focuses on relational data rather than solely on attributes of individual entities and is distinguished from conventional statistical analysis of independent observations because the relationships among observations constitute a central component of the analytical framework [2].