Research on Heat Map Modeling of Guiding Big Data Research Hotspots Based on CiteSpace

Abstract

In order to better understand the research hotspots and status quo of my country’s education big data, the article uses bibliometrics and scientific knowledge mapping methods, taking the domestic education big data papers from 2013 to 2017 included in the CNKI (China Knowledge Network) journal database. Object, through the visualization software CiteSpace to analyze the journal distribution, time distribution and keywords of the paper, and explore the development status of domestic education big data. This article is based on CiteSpace’s educational big data mining algorithm, which increases the discovery rate of research hotspots by 10.2%; CiteSpace-based heat map modeling method increases the hotspot research to 98.2%.