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However, this progress has also introduced new risks to network ideology security within the big data environment. Using a hierarchical holographic modeling method, this study identifies three key risks\u2014subject-related, information-related, and environmental risks\u2014and constructs a comprehensive three-level index framework for evaluating network ideology risks. By integrating network social governance with the complexities of the big data era, the study proposes an optimized pathway for network social governance, enriching traditional research approaches. The introduction of the LR-NSRPM method reduces CPU and RAM utilization by 21.65% compared to existing methodologies. 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