STUDY OF INTERACTIONS WITHIN INFLUENCE SYSTEMS
STUDY OF INTERACTIONS WITHIN INFLUENCE SYSTEMS

Summary/Abstract: This paper presents different methods in order to study the interactions existing in any open system, meaning all the systems, because all are influenced by endogenous and exogenous factors. For example, the influences system which leads the consumer to the buying decision. Specifically, we can analyze the interactions between the influences acting upon the decision, using the energy transfers, given by Onicescu formulas, also applying suitable algorithms, like mathematical algorithms. In the first part, the analysis is based on the information theory, and, using the data from author’s research, a recent MS Excel application, promoted specifically for this kind of analysis, revealed a remarcable informational gain due to the interaction between the two selected qualities (dramatism and surprising) in the female segment of the surveys participants. Speaking about the last category, we have chosen the prey-predator algorithm and the reverse matrix algorithm. Our variables are the endogenous factors, two of the selected adjectives which the surveys participants attributed to the anime culture products, and they will replace the original variables of the Lotka-Volterra algorithm, the process of replacement being presented. As a primary result, the graphic representation demonstrates the strong interaction between these two actors. For the second algorithm, the decision system is assimilated to an open dynamical system, as it is. The endogenous influences are unlimited interacting, in a strong way in this case, under the exogenous influences action, the result being the consumer decision. The graphic representation, due to a matrix algorithm, leads to the same result, the strong correlation between the selected endogenous influences, in fact, we have obtained the same image, but in different ways.

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