Research on knowledge mapping construction of big data

Abstract

The diversified development of network applications and the informatization of social life are triggering explosive growth of data. The core journal articles based on big data research in the 2011-2018 database, which are included in the CNKI database, are used as research objects, and CiteSpace, Netdraw, and Ucinet are used as tools for visualizing knowledge maps. Visualize the growth trend of big data literature, authors and institutional cooperation networks; use co-occurrence analysis and cluster analysis to mine research hotspots of big data; use mutation word detection and time zone view to study evolution path of big data development. The research hotspots of big data are shown in three directions of big data technology, application field and challenges brought by big data. The evolution path of the field of big data shows that in early stage, technology research related to big data was mainly conducted, and later, it developed into the research trend of technology and application.