The university library is the university document information center, and it is the academic organization that serves teaching and scientific research. The work of the university library is an important part of school teaching and scientific research. The university library’s construction and development should be adapted to the school’s construction and development, and its level is an important symbol of the school’s overall level. The libraries of colleges and universities should carry out the academic research and exchange activities in a planned way, and various scientific research subjects at all levels should be declared actively. Those who are in a position to do so may, according to their needs, set up their scientific research projects. University libraries should actively carry out academic exchanges at home and abroad. Qualified persons may apply for membership in international academic organizations in accordance with the relevant provisions of the State [
The number of papers and citations are two core indexes used to evaluate scientific research [
In the context of the above problems, this paper puts forward a model based on bibliometrics to evaluate the academic influence of sports social discipline in China. This paper constructs a statistical model of sports social discipline’s academic influence, uses the word frequency statistics method to measure the literature, and extracts the semantic characteristic quantity of the sports social discipline academic influence. This paper uses dual semantic feature decomposition to analyze the academic influence of sports social discipline, and it establishes the statistical analysis model of sports social discipline academic influence. To calculate the comprehensive relative closeness of the distribution of literature statistics on the academic influence of sports and social disciplines, the linear programming analysis of literature statistics is carried out using the standardized grid computing method. Combination rule feature extraction and semantic feature extraction are used to realize the quantitative calculation of literature statistics and academic influence. Finally, a simulation experiment is carried out to demonstrate the superior performance of this method in improving the ability of literature statistics and analysis of sports and social disciplines’ academic influence.
The specific contributions of this paper include the following: The statistical model of the academic influence of sports social discipline is constructed. The semantic characteristic quantity of academic influence of social discipline of physical education is extracted. This paper analyzes the academic influence of sports social discipline by using binary semantic feature decomposition. It realizes the quantitative calculation of literature statistics and academic influence.
The rest of this paper is organized as follows. Section
To realize the statistical analysis of sports social discipline’s academic influence, the paper first establishes the literature statistical analysis model of sports social discipline academic influence. Combined with the academic influence of sports social discipline, the paper constructs a fuzzy decision matrix. The literature statistics problem of sports social discipline’s academic influence is a dual semantic decision-making problem [
Let
In the decision-making process of grey correlation degree, the weight of statistical literature retrieval for the academic influence of sports social discipline includes two parts: the evaluation factor of readers and the article of academic influence of sports social discipline. The criteria for determining the reliability of resource access for statistical purposes are as follows:
If
Let the real number
This paper presents a model for evaluating the academic influence of sports social disciplines in China based on bibliometrics. To calculate the comprehensive retrieval information recommendation matrix
According to the above steps, the decision model of multiattribute grey correlation degree for the statistical literature retrieval of sports social discipline is constructed. On this basis, the bibliometric design is carried out [
This paper adopts the method of word frequency statistics to measure the literature, extracts the semantic characteristic quantity of the academic influence of sports social discipline, uses binary semantic feature decomposition to analyze the academic influence of sports social discipline [
To determine the optimal word frequency statistical scheme, the given decision weight is
In the cloud computing environment, the related domain ontology is constructed in the form of tables and attributes, and the comprehensive relative closeness degree state function of binary semantic decision analysis is described as follows:
The method of multiattribute decision-making is used to determine the optimal retrieval scheme. When
Let
The comprehensive decision function of group resource retrieval is established. The fuzzy closeness degree of each object and the optimal scheme is set as
Therefore, the statistical literature retrieval and the comprehensive relative closeness calculation of the sports social subject’s academic influence are realized [
In the periodical evaluation, the impact factor is an extremely important index to evaluate the periodical, which is expressed as follows:
In formula (
The H index method is a new method of measurement for evaluating individual academic achievements in 2005. With the development of the evaluation of academic influence on periodicals, the index method is gradually paid attention to. Many databases such as SCI are used as conventional measurement parameters and are applied to a wide range of scientific research objects, such as multidisciplinary and interdisciplinary. In the evaluation of scholars or periodicals, the H index means that, in the literature statistics scope, the scholars or periodicals have at least
Cloud computing, parallel computing, and distributed computing techniques are used to conduct academic statistics on the academic influence of sports social sciences. The control function of bibliometrics is as follows:
A statistical analysis model of the academic influence of sports social discipline is established. It calculates the comprehensive relative closeness of the statistical literature distribution of sports social discipline’s academic influence. It sets the equilibrium control parameters of the literature information resources to meet the needs of
When the following relationships are satisfied,
In the above equation,
To test the academic literature statistics’ performance and the evaluation of the academic influence of sports and social discipline designed in this paper, the simulation experiment is carried out. The hardware CPU of the simulation is Intel Core i7-2600, which is simulated by Matlab. The data format stored in sports and society’s academic resource database is Word, PDF, EXE, etc. [
Firstly, the characteristic sampling of the data storage resource information in the sports social science academic literature resource database is carried out, and the sports and social discipline are academic. The main contents of Chinese Core Journals have been published in 1992/1996/200/2004/2008/2011/2014, and 8 editions were published in 2017 in many university libraries in Beijing and the National Science Library of the Chinese Academy of Sciences, the Documentation and Information Center of the Chinese Academy of Social Sciences, the Book and News Information Center of the Renmin University of China, and the Electronic Journal of Chinese academic Journals (CD-ROM). More than 100 experts and periodical workers from 27 related units, including the China Institute of Science and Technology Information, Beijing Wanfang Data Co., Ltd., and the National Library, participated in the study. This study’s subjects are the data from 2003 to 2017, so the ranking lists of core journals in 2004, 2008, 2011, and 2014 are related to the main contents of Chinese Core Journals in 2004, 2008, 2011, and 2014. The sample number of document test data is 1024. The frequency of statistical feature sampling is 12 KHz. The embedding dimension of feature space reconstruction is
Collection of data sources list of Sports Core Journals.
2005–2008 | 2009–2011 | 2012–2014 | 2015–2017 | |
---|---|---|---|---|
1 | China Sport Science | China Sport Science | China Sport Science | China Sport Science |
2 | Chinese Journal of Sports Medicine | Journal of Beijing Sport University | Journal of Tianjin University of Sport | Journal of Shanghai University of Sport |
3 | Journal of Beijing Sport University | Journal of Tianjin University of Sport | Sports & Science | Journal of Beijing Sport University |
4 | Journal of Shanghai University of Sport | Journal of Chengdu Sport University | Journal of Beijing Sport University | Sports & Science |
5 | Journal of Tianjin University of Sport | Sports & Science | Journal of Wuhan Institute of Physical Education | Journal of Tianjin University of Sport |
6 | Sports & Science | Journal of Wuhan Institute of Physical Education | Journal of Chengdu Sport University | Journal of Chengdu Sport University |
7 | Journal of Wuhan Institute of Physical Education | Journal of Xi’an Physical Education University | Journal of Shanghai University of Sport | Journal of Shenyang Sport University |
8 | Journal of Chengdu Sport University | Journal of Shanghai University of Sport | Journal of Shenyang Sport University | Journal of Xi’an Physical Education University |
9 | Journal of Xi’an Physical Education University | Journal of Shenyang Sport University | Journal of Xi’an Physical Education University | Journal of Wuhan Institute of Physical Education |
10 | Journal of Guangzhou Sport University | Sports Culture Guide | Sports Culture Guide | Journal of Guangzhou Sport University |
11 | Sports Culture Guide | Journal of Capital University of Physical Education and Sports | Journal of Guangzhou Sport University | Journal of Capital University of Physical Education and Sports |
12 | China Sport Science and Technology | Journal of Guangzhou Sport University | Journal of Capital University of Physical Education and Sports | Sports Culture Guide |
13 | Journal of Shandong Sport University | China Sport Science and Technology | Journal of Shandong Sport University | Journal of Shandong Sport University |
14 | — | Journal of Shandong Sport University | China Sport Science and Technology | China Sport Science and Technology |
15 | — | Journal of Physical Education | Journal of Nanjing Sport Institute(Natural Science) | Journal of Physical Education |
16 | — | Journal of Nanjing Sport Institute(Natural Science) | Journal of Physical Education | Journal of Nanjing Sport Institute(Natural Science) |
data sources | 2004 edition of “key journal of Chinese core journal.” | 2008 edition of “key journal of Chinese core journal.” | 2011 edition of “key journal of Chinese core journal.” | 2014 edition of “key journal of Chinese core journal.” |
Each core periodical in the selected scope was selected for citation ranking of all the literature in the sports sociology field. Combined with the H index definition, the H index values and rankings of each journal in the following table were obtained. H Index of Sports Core Journals in Sports Sociology is shown in Table
H index of sports core journals in sports sociology.
Ranking | Periodical name | H index |
---|---|---|
1 | Journal of Beijing Sport University | 26 |
2 | Journal of Shanghai University of Sport | 24 |
3 | Sports & Science | 23 |
4 | Journal of Capital University of Physical Education and Sports | 23 |
5 | China Sport Science | 22 |
6 | Sports Culture Guide | 22 |
7 | China Sport Science and Technology | 21 |
8 | Journal of Wuhan Institute of Physical Education | 20 |
9 | Journal of Chengdu Sport University | 19 |
10 | Journal of Tianjin University of Sport | 18 |
11 | Journal of Guangzhou Sport University | 18 |
12 | Journal of Nanjing Sport Institute(Natural Science) | 17 |
13 | Journal of Physical Education | 16 |
14 | Journal of Xi’an Physical Education University | 15 |
15 | Journal of Shandong Sport University | 14 |
16 | Chinese Journal of Sports Medicine | 10 |
17 | Journal of Shenyang Sport University | 7 |
From Table
By screening the research results of the sports sociology in the core periodicals, through the investigation method of bibliometrics, the theme, keywords, abstracts, and contents of each research literature are analyzed in detail. The achievements in the study of sports sociology are screened out. The sports sociology leading in the core periodicals of each edition for 2006–2015 years has been completed. The amount of literature in the domain is as shown in Table
Summary of sports sociology screening results for all core journals from 2006 to 2015.
Time | Selection of core periodicals in each edition | Percentage of text in core periodicals/% | Literature screening of sports sociology | Percentage of literature in sports sociology/% |
---|---|---|---|---|
2006 | 253 | 38.36 | 106 | 41.31 |
2007 | 228 | 27.56 | 120 | 51.78 |
2008 | 268 | 26.72 | 181 | 56.17 |
2009 | 354 | 30.59 | 146 | 43.68 |
2010 | 285 | 21.74 | 135 | 42.15 |
2011 | 635 | 13.52 | 143 | 46.89 |
2012 | 601 | 26.45 | 271 | 52.31 |
2013 | 532 | 20.14 | 246 | 41.36 |
2014 | 406 | 19.59 | 268 | 51.78 |
2015 | 413 | 23.78 | 216 | 49.59 |
Total | 3975 | 23.57 | 1832 | 48.53 |
Table
All sports core periodicals volume analysis of broken line chart in 2005–2015.
At the same time, the data of “the percentage of sports sociology literature” in Table
According to the simulation environment and parameters mentioned above, set, carry on the sports social discipline academic influence evaluation, and get the literature metrological distribution shown in Figure
Characteristic distribution of academic influence of sports social discipline. (a) Bibliometrics method. (b) Regression analysis method.
Figure
The comparison results are shown in Figure
Accuracy of academic impact assessment.
This paper proposes a model of academic influence evaluation of sports social discipline in China based on bibliometrics. A statistical model of the academic influence of sports social discipline is constructed. The word frequency statistics method is used to measure the literature. The semantic characteristic quantity of the sports social discipline academic influence is extracted. The dual semantic feature decomposition method is used to analyze the academic influence of sports social discipline, and the statistical analysis model of sports social discipline academic influence is established. The comprehensive relative closeness of the distribution of literature statistics on the academic influence of sports and social disciplines is constructed. The linear programming analysis of literature statistics is carried out using the standardized grid computing method. The combination of association rule feature extraction and semantic feature extraction is used to realize the quantitative calculation of literature statistics and academic influence. The simulation results show that the statistical analysis of the academic influence of sports and social discipline by this method is accurate, and the level of confidence is high. This method has a good application value in the evaluation of the academic influence of physical education.
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
The author declares that he has no conflicts of interest.
This work was supported by the Social Science Foundation of Shaanxi Province (no. 2018R09).