Big Data is a hot topic at present,and many disciplines are engaged in it.However,the relationship and status of these disciplines in Big Data research are still not well understood.Based on bibliometric data from the...Big Data is a hot topic at present,and many disciplines are engaged in it.However,the relationship and status of these disciplines in Big Data research are still not well understood.Based on bibliometric data from the Web of Science,this study analyzes the interdisciplinarity of Big Data research.It focuses on its spatial and temporal distribution characteristics by combining traditional bibliometrics,interdisciplinarity indicators,and so cial network analysis.We found that:1)In recent years,the research topics of Big Data include the Internet of Things,Syndromic Surveillance,Knowledge M anagement,Industry 4.0,etc.M ost Big Data research comes from China,the United States,and India.2)Big Data research involved 141 disciplines,but the disciplinary distribution is unbalanced,among which the diversity of disciplines is constantly improving;The balance of disciplines is on the rise,and the situation that is dominated by a few disciplines has been improved;The disparity of disciplines increases and researchers tend to cite the disciplines that are quite different from their own disciplines.3)Computer Science and Engineering are the two most important disciplines in the Big Data field.According to the collaboration degree,the interdisciplinary collaboration network can be divided into five communities:Community 1,represented by Computer Science and Engineering;Community 2,represented by Business&Economics;Community 3,represented by Science&Technology;Community 4,represented by M aterials Science;Community 5,represented by Health Care Sciences&Services.The collaboration between a few key disciplines has changed,and the whole network is still expanding in Big Data research.展开更多
基金the major project-The Research on the Construction of A Cloud Platform for Science and Education Evaluation and Intelligent Service Based on Big Data(No.19ZDA348),supported by National Social Science Foundation of China
文摘Big Data is a hot topic at present,and many disciplines are engaged in it.However,the relationship and status of these disciplines in Big Data research are still not well understood.Based on bibliometric data from the Web of Science,this study analyzes the interdisciplinarity of Big Data research.It focuses on its spatial and temporal distribution characteristics by combining traditional bibliometrics,interdisciplinarity indicators,and so cial network analysis.We found that:1)In recent years,the research topics of Big Data include the Internet of Things,Syndromic Surveillance,Knowledge M anagement,Industry 4.0,etc.M ost Big Data research comes from China,the United States,and India.2)Big Data research involved 141 disciplines,but the disciplinary distribution is unbalanced,among which the diversity of disciplines is constantly improving;The balance of disciplines is on the rise,and the situation that is dominated by a few disciplines has been improved;The disparity of disciplines increases and researchers tend to cite the disciplines that are quite different from their own disciplines.3)Computer Science and Engineering are the two most important disciplines in the Big Data field.According to the collaboration degree,the interdisciplinary collaboration network can be divided into five communities:Community 1,represented by Computer Science and Engineering;Community 2,represented by Business&Economics;Community 3,represented by Science&Technology;Community 4,represented by M aterials Science;Community 5,represented by Health Care Sciences&Services.The collaboration between a few key disciplines has changed,and the whole network is still expanding in Big Data research.
