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The spread of infectious diseases transmitted through direct person-to-person contact such as influenza depends significantly on the host contact network’s structure. Understanding how this community structure influences disease dynamics can provide crucial insights into preventing disease transmission. This research examines the effectiveness of different vaccination strategies across various network topologies. Two approaches are examined: random vaccination, where individuals are vaccinated without regard to their network connections, and strategic vaccination, where individuals are prioritized based on their degree of connectivity. The random vaccination results show that while higher vaccine doses reduce the infection peak, the strategy’s success varies significantly between scale-free and random networks due to their differing transmission dynamics. In contrast, the strategic approach, which prioritizes highly connected individuals, proves to be the most effective, significantly slowing the epidemic and providing more time for widespread immunization. Additionally, when focusing on family-based vaccination, targeting young families is beneficial but not as effective as directly vaccinating highly connected individuals.