Hierarchical Holographic Modeling of Network Ideology Risks: Strategies for Governance in the Big Data Era

Hierarchical Holographic Modeling of Network Ideology Risks: Strategies for Governance in the Big Data Era

Qian Chen (Fuzhou University of International Studies and Trade, China)
DOI: 10.4018/IJCINI.357271
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Abstract

The rapid evolution of computer network technology and the proliferation of social information have elevated the role of computer networks in various domains. 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—subject-related, information-related, and environmental risks—and 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. Additionally, the study outlines observable risk indicators and high-risk elements within network ideology, providing valuable insights for managing network ideology risks in the big data environment.
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Literature Review

In recent years, along with the rapid development of digital technology, the study of the impact of big data on network social governance has become a hot topic in the academic community and has attracted the interest of some scholars. An accurate understanding and definition of the concepts related to big data and network social governance is a prerequisite for the next step of research. The connotation of network social governance under the influence of big data is relatively broad; the main concepts involved are big data, network society, network social governance, network social governance under the influence of big data, and so on. In this article, these relevant concepts are studied and defined according to current research, which helps lay the foundation for better research on network social governance under the influence of big data (Taylor, 2023).

In the digital age, technological advancements propel societal progress, with the internet playing an ever-expanding role in shaping states and societies. Given its functions in information gathering, amplifying public opinion, and providing a platform for ideological clashes, the internet has become a key battleground for competing ideologies. Real-world events quickly capture widespread attention online, fueling increased public engagement in political and social affairs (Yang et al., 2023). Moreover, the internet facilitates discursive democracy by enabling diverse events and phenomena to spark meaningful dialogues and participation among individuals (ten Oever, 2023).

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