Abstract: Big data is an imperative foundation of modern life and it has already been widely used all over the world. However, the abuse of big data is becoming more and more serious. This study develops a system dynamics model to analyze the mechanism of big data regulation. And the model is verified in an anti telecom and network fraud system.The findings indicate that user self regulation is the symptomatic solution and system regulation is the fundamental solution to the regulation problem. System coverage has positive indirect effects to solving the regulation problem, while behavior variation and switching cost have negative indirect effects at the same time. The study validates an innovative approach in the combination of system dynamics and big data regulation, and finds an effective way to analyze the mechanism of big data regulation.

Key words: system dynamics, big data regulation, user self regulation, system regulation, switching cost