Graph theory analysis method of research hot spots based on co-occurrence of keywords

Abstract

The invention provides a graph theory analysis method of research hot spots based on co-occurrence of keywords. The method comprises the following steps of: a, acquiring a plurality of candidate keywords n1, n2, n3, ..., and nm from a document database (DB); b, determining a weight wi of the keyword ni according to the weights of the keyword ni in all documents of the DB; c, constructing an undirected weighted graph G of each keyword; and d, acquiring the keywords of the research hot spots according to the undirected weighted graph G. By the keywords which are analyzed by the method, key technical problems which are required to be discussed in the field can be covered, and the research hot spots to be dug can be extracted and used as a breakthrough for science and technology forecasting and discovery of new subject growth points, so the advancement and development of a subject are promoted. The graph theory analysis method of the research hot spots based on the co-occurrence of the keywords is applicable to the technical field of document knowledge analysis and management and also applicable to the field of scientific research.

Description

technical field [0001] The invention relates to the technical field of document knowledge analysis and management, in particular to a research hotspot map theory analysis method based on keyword co-occurrence. Background technique [0002] In recent years, people have deepened the research on document management, and the scope of research has been continuously expanded. The key words in the literature are the reminder of the technical content, the condensation of the author's academic thoughts and views, and also an important indicator of bibliometric research. At the same time, some keywords often appear together, and the phenomenon that two or more keywords appear at the same time in the same document is called keyword co-occurrence. Keyword co-occurrence analysis is an important quantitative research method commonly used in bibliometrics. This method is based on the keywords of the literature, and by describing the association and combination of keywords and keywords, it...

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Problems solved by technology

For example, if a literature study shows that there is a strong co-occurrence relationship between term A and term B, and there is also a strong co-occurrence relationship between term A and term C, then it can be inferred that there is also a strong co-occurrence relationship between term B and term C. There may be some connection that may lead to some innovative discovery in science by revealing the relationship between term B and term C

[0004] At present, the method of analyzing research hotspots based on the co-occurrence of keywords mainly adopts the surface analysis of the observation value matrix. This analysis method usually only studies the correlation degree of the network graph corresponding to the observation value matrix, and the keywords analyzed are limited to those listed in the literature. The 3-5 keywords of the article usually cannot fully reflect the comprehensive content and innovative viewpoints of the full text

Moreover, in the process of keyword co-occurrence analysis, this method often defines the keyword co-occurrence weight by the frequency of occurrence, and the research and analysis of the correlation between keywords cannot achieve the desired results, and the analyzed keywords are not It fails to cover the key technical issues that need to be discussed in this field, it is difficult to extract research hotspots to be explored, and it is even more difficult to show the development trends and trends of the discipline through this method

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