Scientometric Analysis of Research on Network Public Opinion in A Context of Big Data

摘要

Big data, as both a scientific tool and a new thinking pattern to analyze the data sets, has brought a profound influence on the research of network public opinion. To propose a reference for further study based on the application of big data in network public opinion, this paper aims to analyze the annual trends, main countries, institutions, publications, and topics of the relevant papers collected from the Web of Science (WoS) database. The findings show that there are several institutions from China, the U.S., Spain, and South Korea have made an outstanding contribution to it. The bibliographic coupling network of publications shows the capacity of the research in enabling interdisciplinary collaboration in the context of big data. Based on the co-occurrence network generated from the author's keywords data, a concise keywords map is produced and there are five clusters on it, including (a) big data and social media, (b) public sentiment and opinion mining,(c) sentiment analysis and machine learning, (d) elections and political communication, and (e) research methods.