Paper sorting method based on gold citation algorithm

A sorting method and paper technology, applied in the field of paper sorting based on the golden citation algorithm, can solve the problems of not fully reflecting the quality of papers, interference of self-citing papers, etc.

Active Publication Date: 2018-11-20
北京市科学技术情报研究所
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Problems solved by technology

The application only considers the citation relationship between the papers, but the interference of self-citation papers cannot fully reflect the quality of the papers

Method used

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  • Paper sorting method based on gold citation algorithm
  • Paper sorting method based on gold citation algorithm
  • Paper sorting method based on gold citation algorithm

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Embodiment 1

[0037] Such as Figure 2 to Figure 5 As shown, the present invention introduces a method for recommending papers based on the Golden Citation Algorithm. First, select the scope of the paper group in the paper database; secondly, construct an initial citation network model according to the mutual citation relationship of the papers in the selected paper group; Then, calibrate the citation attributes of the papers in the initial citation network model, and use the self-citation coefficient to revise the number of citations to generate a group of self-cited revised papers; finally, iteratively narrow the scope of the group of self-cited revised papers until the results converge to obtain golden citations paper. Implement self-citation revision citations, exclude self-citation papers in citations, overcome the interference of self-citations in paper evaluation, and make the quality of evaluated papers more reasonable; at the same time, adopt iterative deletion method to exclude se...

Embodiment 2

[0064] Such as figure 1 As shown, in the embodiment of the present invention, a paper sorting method based on the golden citation algorithm is introduced, including the following steps:

[0065] S11. Select the scope of the paper group in the paper database;

[0066] S12. Constructing an initial citation network model using the mutual citation relationship of papers in the selected paper population;

[0067] S13. Calibrate the citation attribute of the paper in the initial citation network model, and revise the number of citations through the self-citation coefficient of the paper to generate a group of self-citation revised papers;

[0068] S14. Taking the group of self-cited and revised papers as the initial group of papers, using an iterative screening method to narrow down the scope of the group of self-cited and revised papers layer by layer, forming a group of papers from each layer of papers, and sorting them in descending order;

[0069] S15. Outputting the sorting r...

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Abstract

The invention discloses a paper sorting method based on a gold citation algorithm. The paper sorting method comprises the following steps: firstly, selecting the paper group range in a paper database;secondly, constructing the initial citation network model according to the mutual citation relationship of the papers in the selected paper group; thirdly, calibrating the citation attributes of thepapers in the initial citation network model and revising the number of citation through the self-citation coefficient so as to generate a self-citation revised paper group; then, taking the self-citation revised paper group as the initial paper group, narrowing down the scope of the self-citation revised paper group layer by layer by the iterative screening mode and composing the papers selectedfrom each layer into the paper group and arranging them in the descending order; and finally, outputting the sorting result. The interference of self-citation in the paper citation relationship can beeliminated by calibrating the citation attributes of the paper, then the papers in the paper group are extracted to form a new paper group layer by layer and sorted in turn according to the times ofself-citation revision citation and the user can visually obtain the distribution situation of the paper group according to the sorting result so that the user can quickly and accurately retrieve high-quality papers.

Description

technical field [0001] The invention belongs to the technical field of big data paper retrieval and recommendation, and in particular relates to a paper sorting method based on a golden citation algorithm. Background technique [0002] The evaluation of academic papers and the ranking of academic papers, as the core part of the paper retrieval and paper recommendation system, have always been a concern of researchers. Because accurate evaluation and ranking of academic papers is of great significance. For example, accurate evaluation and ranking of academic papers can assist in quantifying the scientific research influence of researchers and academic institutions, and speed up entry-level scholars' research in specific scientific fields. learning speed. [0003] The prior art discloses a method for analyzing and sorting the academic influence of subject documents in a citation database, including: performing subject search in the citation database, obtaining metadata inform...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 吴晨生杜丽萍李梦辉刘静黄玉荣
Owner 北京市科学技术情报研究所
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