This paper delves into the realm of community detection in network science and graph theory with the overarching objective of unraveling the underlying structures between nodes within a network. In this pursuit, we put forth a novel and comprehensive approach to ascertain the optimal solution to maximizing the renowned community quality metric known as Max-Min Modularity. Through a series of experiments encompassing diverse case studies, we substantiate the efficacy and validity of our proposed approach, further bolstering its credibility.
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