Research Article
Research on Export Trade Information Sharing Method Based on Social Network Data
@INPROCEEDINGS{10.1007/978-3-031-28787-9_38, author={Guiling Yang}, title={Research on Export Trade Information Sharing Method Based on Social Network Data}, proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I}, proceedings_a={ADHIP}, year={2023}, month={3}, keywords={Social network data Export trade Information sharing Communication resources Sharing model Data fusion}, doi={10.1007/978-3-031-28787-9_38} }- Guiling Yang
Year: 2023
Research on Export Trade Information Sharing Method Based on Social Network Data
ADHIP
Springer
DOI: 10.1007/978-3-031-28787-9_38
Abstract
Export trade, also known as export trade, refers to the trading activities of selling domestic products or processed products to overseas markets. Due to the large amount of export trade information and the limited storage of resources, the utilization rate of resources is low and the ability of information sharing is poor. To this end, this paper proposes a method of export trade information sharing based on social network data. Through the distributed classification technology of the blockchain platform, we can access trade financing data and information in real time and establish an information service mode. Bayesian estimation is used for data fusion. Establish social network data communication links to transmit information resources. Federal learning algorithm is used to map the original data into the corresponding data sharing model to realize the sharing of export trade information. The test results show that the export trade information sharing method based on social network data can improve the detection rate and shorten the running time, so as to maximize the utilization efficiency of shared information, and achieve better information sharing effect.
