Research Hotspots and Trends of E-Commerce Credit Evaluation in China Based on CiteSpace

Abstract

【Significance】With the rapid development of e-commerce in the era of big data, its credit evaluation becomes more and more important.This paper combs and studies the existing research literature in the field of e-commerce credit evaluation, so as to achieve a comprehensive understanding of the follow-up research hotspots and trends in this field and provide ideas for the development of follow-up research.【Process】(1)Using the Database of CNKI as the sample source, CiteSpace visual analysis software was used to draw the collaborative network map of high-yield authors, cooperative network map of important institutions, cooccurrence network map of high-frequency keywords and the timezone map of recent five years of research.(2) In order to better understand this field, literature analysis method was used to conduct deep learning research on the papers with high citation and high quality in the sample data.【Conclusion】At the present stage, the research in this field is in the bottleneck period.The research hotspots are mainly divided into three aspects: research on C2C e-commerce platform, research on evaluation system, and research on model establishment.The frontier trends mainly include the research under the background of big data, the system improvement of e-commerce Law, and the application of machine learning algorithm.

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.