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Social networks, as abstract representations of relationships between entities, play a pivotal role in connecting individuals in the digital age. This paper delves into the realm of social network analysis (SNA), a method rooted in graph theory that explores the dynamics of social relationships within communities. One of the key objectives of SNA is to identify the most influential actors within a social network, a task often achieved by calculating various centrality metrics. These metrics, such as degree centrality, allow to quantify the significance and impact of individual nodes within a social network. In the context of marketing and brand promotion, these metrics are particularly relevant and useful. Leveraging social networks for marketing endeavors can enhance brand recognition and foster customer loyalty. When promoting products within social networks, targeting the “most important” members (i.e., those with higher …