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Analysis and Simulations of open-source intelligence Process System Dynamics from User’s Perspective

Computer Modeling in Engineering & Sciences 2023年第1期134卷 541-558页

作者： Huan Liu Zhenyu Tang Ning Zhao Wei Qian Northeast Agricultural University Harbin150030China Harbin Institute of Technology Library Harbin150001China

In today’s society with advanced Internet,the amount of information increases dramatically with each passing day,which leads to increasingly complex processes of open-source ***,it is more important to rationalize the operation mode and improve the operation efficiency of open-source intelligence under the premise of satisfying users’*** paper focuses on the simulation study of the process system of opensource intelligence from the user’s ***,the basic concept and development status of open-source intelligence are introduced in ***,six existing intelligence operation process models are summarized and their advantages and disadvantages are compared in *** on users’preference,the open-source intelligence system simulation theory model is constructed from four aspects:intelligence collection,intelligence processing,intelligence analysis,and intelligence ***,the dynamics model of the open-source intelligence process system is constructed based on the open-source intelligence system simulation theoretical model,which specifically includes five parts:determination of system boundary,construction of causal loop diagram,construction of stock flow diagram,writing ofmathematical equations,and system sensitivity ***,the system simulation results were *** was found that improving the system of intelligence agencies,opening up government affairs,improving the professional level of intelligence personnel,strengthening the communication and cooperation among personnel of various intelligence departments,and expressing intelligence products through diverse forms can effectively improve the operational efficiency of the open-source intelligence process system.

关键词： open-source intelligence system dynamics feedback user demand deviation

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