With the rapid development of computer network technology and the improvement of social information, computer network plays an increasingly important role in the fields of politics, economy, military and life. Network ideology security is facing new risks and challenges under the big data environment, which also provides new solutions for network ideology risk management. In the big data environment, network ideology security faces three risks: subject, information and environment. Using the hierarchical holographic modeling method, we deconstruct the subject, information and environment layer by layer, and build a three-level index framework of network ideology risk This paper combines network social governance with the era of big data, constructs the framework of network social governance under the influence of big data, and based on this framework, puts forward the optimization path of network social governance under the influence of big data, which broadens the research dimension of traditional network social governance path .The lr-nsrpm method proposed in this paper uses logic language to describe network system parameters, which reduces the CPU and ram utilization by 21.65% compared with the existing working methods .Construct the risk framework of network ideology, identify observable risk indicators, quantify and rate the indicators, and conclude that the value orientation, information content, information literacy and emotional stability of Internet users are high-risk indicators of network ideology.