Applying text similarity algorithm to analyze the triangular citation behavior of scientists

Liu, Yunmei; Chen, Min

doi:10.1016/j.asoc.2021.107362

Cited by 30 publications

(20 citation statements)

References 35 publications

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“…Blockchain applications must be combined with emerging technologies such as the Internet of Things, cloud computing, big data and artificial intelligence [46,47]. There-fore, as one of the most promising emerging Internet technologies at present, blockchain technology deserves the attention of all sectors of society to study and research and realize scientific construction and continuous optimization of its scientific research system [48,49], so as to improve the application level of the technology and better promote the sustainable development of digital finance.…”

Section: Discussionmentioning

confidence: 99%

The Sustainable Development of Financial Topic Detection and Trend Prediction by Data Mining

et al. 2021

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Blockchain technology is the most cutting-edge technology in the field of financial technology, which has attracted extensive attention from governments, financial institutions and investors of various countries. Blockchain and finance, as an interdisciplinary, cross-technology and cross-field topic, has certain limitations in both theory and application. Based on the bibliometrics data of Web of Science, this paper conducts data mining on 759 papers related to blockchain technology in the financial field by means of co-word analysis, bi-clustering algorithm and strategic coordinate analysis, so as to explore hot topics in this field and predict the future development trend. The experimental results found ten research topics in the field of blockchain combined with finance, including blockchain crowdfunding, Fintech, encryption currency, consensus mechanism, the Internet of Things, digital financial, medical insurance, supply chain finance, intelligent contract and financial innovation. Among them, blockchain crowdfunding, Fintech, encryption currency and supply chain finance are the key research directions in this research field. Finally, this paper also analyzes the opportunities and risks of blockchain development in the financial field and puts forward targeted suggestions for the government and financial institutions.

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Section: Discussionmentioning

confidence: 99%

The Sustainable Development of Financial Topic Detection and Trend Prediction by Data Mining

et al. 2021

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“…Therefore, more high-tech industrialization bases should be established in college-concentrated areas, and the scientific and technological industries and scientific and technological activities of colleges should be promoted. In this way ( Liu and Chen, 2021 ), the industrialization bases of colleges will gradually become the cradle of entrepreneurs. Besides, college students’ entrepreneurial projects should be assessed from multi-dimensions, and college students should be regularly trained with entrepreneurship through lectures.…”

Section: Discussion On Cultivating Entrepreneurial Talentsmentioning

confidence: 99%

Cultivation of Entrepreneurial Talents Through Virtual Entrepreneurship Practice in Higher Education Institutions

2021

Front. Psychol.

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The purpose is to study the influence of virtual entrepreneurship practice on entrepreneurial talent cultivation and innovation and entrepreneurship education in higher education institutions. First, a questionnaire is designed from three aspects: entrepreneurial awareness, entrepreneurial psychological quality, and entrepreneurial knowledge structure. Afterward, the questionnaire is issued to 200 students from a college in Shaanxi province, and SPSS 25 is chosen to analyze and characterize the virtual entrepreneurship practice education and the innovation and entrepreneurship education in higher education institutions. The results show that among all the subjects, nearly 20% of them do not understand entrepreneurship, nearly 85% of them concern about the risk of entrepreneurship, and nearly 70% of them take a negative attitude toward entrepreneurial failure. Meanwhile, the subjects have not formed an independent view on entrepreneurship, the subjects’ basic entrepreneurial quality is poor, their entrepreneurship awareness is weak, and their entrepreneurial psychological quality is poor. The subjects lack entrepreneurial quality rather than entrepreneurial knowledge. Finally, some suggestions are put forward on education on virtual entrepreneurship practice in higher education institutions from four aspects: improving the external environment of entrepreneurship, improving the entrepreneurship curriculum in higher education institutions, improving the teaching staff, and developing the practice bases for entrepreneurship education. The results provide some ideas about promoting the comprehensive reform of talent training mode in higher education institutions.

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“…It is found that the higher the score for student analysis, teaching strategy, and textbook analysis, the higher the score, so there is a proportional trend among them. Such results suggest that it is necessary to fully understand students and be familiar with teaching materials to have good teaching strategies and provide students with better teaching quality (Liu and Chen, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

The Teaching Design Methods Under Educational Psychology Based on Deep Learning and Artificial Intelligence

et al. 2021

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This study aims to evaluate the practical application value of the teaching method under the guidance of educational psychology and artificial intelligence (AI) design, taking the deep learning theory as the basis of teaching design. The research objects of this study involve all the teachers, students, and students' parents of Ningbo Middle School. The questionnaires are developed to survey the changes in the performance of students before and after the implementation of the teaching design and the satisfaction of all teachers, students, and parents to different teaching methods by comparing the two results and the satisfaction ratings. All objects in this study volunteer to participate in the questionnaire survey. The results suggest the following: (1) the effective return rates of the questionnaires to teachers, students, and parents are 97, 99, and 95%, respectively, before implementation; whereas those after implementation are 98, 99, and 99%, respectively. Comparison of the two return results suggests that there was no significant difference statistically (P > 0.05). (2) Proportion of scoring results before and after implementation is given as follows: the proportions of levels A, B, C, and D are 35, 40, 15, and 10% before implementation, respectively; while those after implementation are 47, 36, 12, and 5%, respectively. After the implementation, the proportion of level A is obviously higher than that before the implementation, and the proportions of other levels decreased in contrast to those before the implementation, showing statistically obvious differences (P < 0.05). (3) The change in the performance of each subject after 1 year implementation is significantly higher than that before the implementation, and the change in the average performance of each subject shows an upward trend. In summary, (1) the comparison on the effective return rate of the satisfaction survey questionnaire proves the feasibility of its scoring results. (2) The comparison of the survey scoring results shows that people are more satisfied with the new educational design teaching method. (3) The comparison of the change in the performance of each subject before and after the implementation indirectly reflects the drawbacks of partial subject education, indicating that the school should pay the same equal attention to every subject. (4) Due to various objective and subjective factors, the results of this study may be different from the actual situation slightly, and its accuracy has to be further explored in the future.

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Applying text similarity algorithm to analyze the triangular citation behavior of scientists

Cited by 30 publications

References 35 publications

The Sustainable Development of Financial Topic Detection and Trend Prediction by Data Mining

The Sustainable Development of Financial Topic Detection and Trend Prediction by Data Mining

Cultivation of Entrepreneurial Talents Through Virtual Entrepreneurship Practice in Higher Education Institutions

The Teaching Design Methods Under Educational Psychology Based on Deep Learning and Artificial Intelligence

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