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Method for evaluating the influence of a scientific research unit based on academic big data
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An influential and big data technology, applied in the field of data processing, can solve problems such as the questionable rationality
Pending Publication Date: 2019-04-12
SHANGHAI UNIVERSITY OF FINANCE AND ECONOMICS
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However, whether an article is cited is affected by many factors, and the rationality of the equal distribution method adopted at the same time is still open to question
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Embodiment 1
[0026] A method for evaluating the influence of scientific research units based on academic big data, comprising the following steps:
[0027] S1. Collect all academic papers published by the scientific research unit to be studied and their cited data, record the scientific research unit to be studied as I i ;
[0028] S2. The data collected in step S1 is used to establish a cited data set P={p according to the reference relationship 1 ,p 2 ,...,p m}, citing dataset C={c 1 ,c 2 ,...,c l} and directed network; the cited data set is the collection of all academic papers published by the research institute to be studied, the citing data set is the collection of citing papers that cite at least one of the cited data sets, and the directed network Contains the cited dataset, the citing dataset, and the citing and cited relationships between them;
[0029] S3. From the cited data set P={p 1 ,p 2 ,...,p m} to select a paper, denoted as p j ;
[0030] S4, remember p j The...
Embodiment 2
[0043] Such as figure 1 As shown, a method for evaluating the influence of scientific research units based on academic big data provided in this embodiment is to calculate the values of scientific research influence of all scientific research units to be studied at the same time, including the following steps:
[0044] 1. Collect all academic papers published by the scientific research units to be studied and their cited data. The scientific research units to be studied include I 1 , I 2 , I 3 , I 4 ;
[0045] 2. Based on the data collected in step 1, establish a cited data set and a citing data set according to the citation relationship, and establish a directed network. In this example, the cited data set is P={p 1 ,p 2 ,p 3 ,p 4}, the citing data set is C={c 1 ,c 2 ,c 3 ,c 4 ,c 5}, the established directed network is as follows figure 1 shown in the first box to the left of the .
[0046] 3. Select the paper p from the cited data set 1 ;
[0047] 4. Thesi...
Embodiment 3
[0067] This embodiment verifies the performance of the method of the present invention through experiments.
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Abstract
The invention discloses a method for evaluating the influence of a scientific research unit based on academic big data. According to the method, by means of the paper data in an academic paper database and reference data of all scientific research units and paper involved in the paper, establishing a co-citation directed network depending on the scientific research unit, measuring the importance of the paper by using the co-citation weight of the paper, and quantitatively evaluating the academic influence of the studied scientific research unit by using a method of constructing a weighting coefficient function by using the signature position information of the scientific research unit. The directed network is established according to the academic paper reference data, the influence value of each unit is calculated by adopting a weighting coefficient method for the cooperative paper of a plurality of units, and the academic influence of each scientific research unit is scientifically and effectively evaluated, so that the effective and reasonable academic influence evaluation method for the scientific research units is provided.
Description
technical field [0001] The present invention relates to the field of data processing technology, in particular to a method for evaluating the influence of scientific research units based on academic big data in the academic field, and especially to a method for evaluating the academic influence of scientific research units based on weighted coefficient directed networks in the case of joint scientific research method of evaluating power. Background technique [0002] In today's society, scientific research institutions are important participants in scientific research and have made significant contributions to academic research. However, different scientific research units have different scientific research capabilities, and the scientific research level of a scientific research unit reflects the academic influence of a scientific research unit. The quantitative results of academic influence provide an important basis for the approval of national scientific research project...
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IPC IPC(8): G06F16/38G06Q10/06G06Q10/10
CPCG06Q10/0639G06Q10/101
Inventor 刘建国王江盼朱熹华李超然郭强江明珠
Owner SHANGHAI UNIVERSITY OF FINANCE AND ECONOMICS
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