ANALYSIS AND EVALUATION OF KNOWLEDGE DIFFUSION IN NETWORK STRUCTURES
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Abstract
The article is devoted to the analysis and assessment of knowledge diffusion in network structures. Various models of network interaction are considered, including the knowledge diffusion model based on the adjacency matrix and the method of stochastic actor-oriented models (SAOM). An example of calculating knowledge diffusion in a network structure based on a petrochemical cluster is given, and factors influencing the dissemination of knowledge in the digital economy are analyzed. Particular attention is paid to digital economy tools, such as cloud technologies, knowledge management systems and blockchain, which help to accelerate knowledge sharing and improve the efficiency of interaction between network structure participants. The article presents recommendations for the implementation of digital technologies to optimize the process of knowledge diffusion in emerging and existing network structures.
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References
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