Functional modeling of fluctuations in the informational environment of economic sectors through thematic clusters

At the current stage of economic development, the level of interpenetration between industries has reached a point where the system of functions describing economic processes tends towards chaos. Consequently, the continuous monitoring of sectoral stability and the forecast of key development metrics and risks has become of particular importance. High-frequency information sources, such as the informational environment, can serve as a fundamental source ofdata of this nature. Quantifying this information environment allows for the creation of thematic clusters that effectively describe various economic properties. This article presents the results of research on the functional modeling process of fluctuations in the informational environment of economic sectors based on thematic clusters. The methodology developed provides a characterization of the relative properties of specific thematic clusters, enabling the interpretation of both the presence and the nature of thematic content within the information environment of the industry, thus highlighting their universality and uniqueness.