Selecting the Optimal Cluster Head Node in Mobile Social Networks using the Centrality Criterion and Community-based Clustering

Mobile Social Networks (MSNs) face significant challenges in routing efficiency and energy conservation due to node mobility. This research proposes an innovative methodology for selecting the "Cluster Head" (CH) by integrating social centrality measures with a multi-criteria Fitness Function. The proposed approach enhances network reliability and data delivery rates by identifying influential and trusted nodes.