In the context of the rapid expansion of social network service platforms, big data analysis technology plays a crucial role in enhancing user interaction and platform operation efficiency. This study deeply analyzes the design and architecture of a data-based social network service platform and at the same time integrates big data analysis technology to enhance the platform function. Through in-depth analysis of the interaction between social networks and big data, a scientific service platform architecture and data processing mechanism are formulated, and the technology application in key links such as recommendation algorithm, user behavior analysis, information promotion and public opinion monitoring is emphatically discussed. The research results contribute a solid theoretical basis for the intelligent upgrade of social network service platform.

Huijie Pan. Design of Data-Driven Social Network Platforms and Optimization of Big Data Analysis. Machine Learning Theory and Practice (2025), Vol. 5, Issue 1: 133-140. https://doi.org/10.38007/ML.2025.050114.

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