Method for analyzing edge connectivity of research hotspot based on keyword concurrent

Abstract

The invention provides a method for analyzing edge connectivity of a research hotspot based on keyword concurrent, which comprises the following steps of: a, acquiring a plurality of candidate keywords n1, n2, n3, ..., nm from a document database DB; b, determining a weight value wi of a keyword ni based on the weight of the keyword ni in all documents in the document database DB; c, constructingan undirected weighted graph G of each keyword; d, converting the undirected weighted graph G into a directed weighted graph D and performing calculation; and e, obtaining keywords of the research hotspot according the directed weighted graph D. The keywords analyzed by the method can cover key technical problems needed to be discussed in the field; and research hotspots to be developed can be extracted as breakthrough of forecasting of science and technology and discovery of a new discipline growth point so as to promote the progress and development of the discipline. The method is applicable to the technical field of document knowledge analytical management and 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 edge connectivity 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 keywo...

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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 draws a simple icon to represent it. The research and analysis of the correlation between keywords cannot achieve the desired result. Results: The keywords analyzed did not cover the key technical issues that need to be discussed in this field, and it is difficult to extract research hotspots to be excavated, and it is even more difficult to display the development trends and trends of the discipline through this method

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