A new method called Variable Centrality (VC) has been developed to help make decisions in network-based problems more efficiently. This method allows for the calculation of centrality measures based on specific requirements, using controller parameters to adjust the results. Through numerical experiments, it has been shown that VC can produce a wide range of centrality measures depending on different scenarios. Comparisons with other centrality methods have demonstrated that VC is a versatile and powerful tool for analyzing networks.