
@Article{cmes.2022.018547,
AUTHOR = {Huan Liu, Zhenyu Tang, Ning Zhao, Wei Qian},
TITLE = {Analysis and Simulations of Open-Source Intelligence Process System Dynamics from User’s Perspective},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {134},
YEAR = {2023},
NUMBER = {1},
PAGES = {541--558},
URL = {http://www.techscience.com/CMES/v134n1/49436},
ISSN = {1526-1506},
ABSTRACT = {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 intelligence. Therefore, it is more important
to rationalize the operation mode and improve the operation efficiency of open-source intelligence under the
premise of satisfying users’ needs. This paper focuses on the simulation study of the process system of opensource intelligence from the user’s perspective. First, the basic concept and development status of open-source
intelligence are introduced in details. Second, six existing intelligence operation process models are summarized
and their advantages and disadvantages are compared in focus. Based on users’ preference, the open-source
intelligence system simulation theory model is constructed from four aspects: intelligence collection, intelligence
processing, intelligence analysis, and intelligence delivery. Meanwhile, 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 of mathematical equations, and system sensitivity test. Finally,
the system simulation results were analyzed. It 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.},
DOI = {10.32604/cmes.2022.018547}
}



