| In recent years,with the massive growth of data,the world today has entered the era of big data.Big data has brought tremendous value to all fields of today's society,and it has also brought enormous challenges,which has attracted great attention from all walks of life.Analyze and forecast the research hotspots and future development trends in the field of big data,and understand the development changes and priorities in the field of big data research,which will play a significant role in promoting the development of social development and scientific research.In the era of big data,how to extract information from huge amounts of complex data and present complex information more clearly and clearly,the most effective way is to use visualization technology.Nowadays,domestic and international research on all aspects of the big data field is not rare,but the large-scale text review is not only long-reading,but also relatively boring,so that some researchers who want to quickly understand and conduct research in this field Deteriorating,in this case,using visualization technology to draw knowledge maps in the field has become a good solution.Domestic research in the field of knowledge maps is not too much,and most of them focus on the field of information metrology.Knowledge maps are an effective tool for interpreting complex knowledge,and applications can be extended to all scientific research fields.In order to solve the above problems,the main research work and results of this paper are:1.This paper introduces the basic concepts of knowledge maps,and based on HowNet database,investigates the use of domestic knowledge map software,andselects several kinds of knowledge map software that domestic researchers use the most,including the basic overview of software.The supported data formats,the relational matrices supporting the construction,and the data processing methods are compared in terms of software,which provides a reference for researchers to select appropriate knowledge map tools for their research content.2.This article uses web of science and HowNet cnki database as the data source to collect the relevant documents of big data from 2008 to 2017 for 10 years.Using scientific knowledge map,from macro to micro to the representative countries of the literature,keywords Visually analyzed by co-cited literature,and analyzed from the results of the map,the key research directions in the field of big data research in the past 10 years,key documents and hotspot frontiers,predicted the development trend of the field in the future,and different from most The knowledge map only analyzes high-frequency words.This paper calculates the centrality of high-frequency keywords,and further extracts high-frequency and high-center keywords as research hotspots in the research field,which has higher reliability,and Excavating the number of times cited in the highly cited literature each year,aiming to discover the development process of knowledge base and knowledge frontier,verify the key research directions and development trends through keyword analysis,and further ensure the accuracy of the results and scientific.3.Through the knowledge map obtained in this paper,the research situation of domestic and foreign research is compared,and the similarities and differences in research fields and research directions in the field of big data research at home and abroad are analyzed.The research situation has a more comprehensive understanding.After the above research work,we have found that the amount of publications in the field of big data has increased year by year.China's publications are in the forefront of international big data research.Domestic and foreign countries attach great importance to the research of big data in cloud settlement,data mining and data analysis.However,there are certain differences in the focus.In recent years,domestic and foreign research on big data is generally shifting to application,and research in the field of big data has stabilized. |
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