679 Perception Research on the Planning Path of “Information Science Exploration” Hot! Wang Yanfei, Chen Meihua, Zhao Keran DOI: 10.3772/j.issn.1000-0135.2021.07.001 Responding to the uncertainty of reality and the future through information foresight constitutes an important task for the theory and practice of national scientific and technical information. This paper first analyzes changes in the environment and requirements for information mission. Then, it derives the target positioning of the study on information foresight through awareness of national science and technology development. The corresponding path is also explored. It is clarified that the planning path of information science exploration should be consistent with the development process of China’s scientific and technical information. It highlights that the core concern lies in improving the capabilities of information systems. The driving force is to renovate standards, while the cornerstone of development is to develop genealogy resources. Finally, the source of self-reliance lies in remodeling information studies. Driven by the demand for information awareness and building the information resource genealogy, a system integrating capabilities, with sufficient research and education guarantees, and adhering to both development and security for the development of national scientific and technical information should be built. 2021 Vol. 40 (7): 679-686 [Abstract] ( 337 ) HTML (68 KB)  PDF (698 KB)  ( 525 )

687 Quantitatively Analyzing Social Network Information Interaction: Integrating the Emotional Elements from Machine Learning's Perspective Hot! Ma Jie, Hao Zhiyuan DOI: 10.3772/j.issn.1000-0135.2021.07.002 In the digital information era, social networks provide a platform for users to discuss hot topics. To correctly guide the public opinion trends in social networks and reduce the negative impact on information dissemination, this study uses real comment data of social networks as the research object, from the perspective of interaction and information behavior. Additionally, the study confirmed the comment tendency category using density peak clustering algorithm. A quantitative model of social network information interaction degree was proposed, which introduced the basic strategy of variance weighted information entropy and referred to the existing methods of calculating emotional polarity. By calculating the information interaction degree mapped by the results of cognition classification, this study clarified the research subject's controversy degree and the public opinion evolution trends. Furthermore, the case study shows that the information interaction degree based on the emotion analysis perspective quantifies the information value of hot topics. The findings of the study can be of great theoretical significance for promoting the healthy and civilized development of the Internet and strengthening the network supervision ability of the relevant departments. 2021 Vol. 40 (7): 687-696 [Abstract] ( 311 ) HTML (117 KB)  PDF (2375 KB)  ( 733 )

697 Organization Model of Cross-domain Emergency Intelligence from the Perspective of Collaboration Hot! Guo Hua, Jiang Xun, Xu Rui, Hou Baiyi, Zhang Jiandong DOI: 10.3772/j.issn.1000-0135.2021.07.003 In the face of intricate cross-domain emergencies, constructing a dynamic self-organized emergency intelligence network is essential for breaking down barriers among intelligence resources, intelligence services, and intelligence agencies. Multi-dimensional knowledge correlation and hybrid data fusion provide organizational solutions for emergency intelligence resources. The idea of domain-driven design provides methods for the division and organization of fine-grained emergency intelligence services. Additionally, the design improves the traditional intelligent agent model to support the system's perception of emergency evolution and response to social constraints. Based on the comprehensive perspective of intelligence resources, intelligence services, and service agents, this study analyzes the working mechanism and implementation path of the vertical cross-domain emergency intelligence chain. Furthermore, the study proposes the “Resource-Service-Agent” triple collaboration model and provides a solution to the emergency intelligence network. Finally, this research supports cross-domain knowledge organization, micro-service composition, and multi-agent collaborative operations. 2021 Vol. 40 (7): 697-713 [Abstract] ( 350 ) HTML (170 KB)  PDF (4658 KB)  ( 723 )

714 Study on the Criteria of Information Credibility in the Context of Information Explosion and Uncertainty: The Case of COVID-19 Hot! Xie Juan, Li Wenwen, Shen Hongquan, Cheng Ying DOI: 10.3772/j.issn.1000-0135.2021.07.004 The considerable increase in the amount of information along with high uncertainty in unexpected emergencies result in a challenge for the public to assess information credibility. This study takes COVID-19 as an example and explores the criteria of information credibility in the context of information explosion and uncertainty. Guided by the grounded theory approach, we developed an interview protocol and conducted theoretical sampling, including 21 participants. After sorting out the original materials, we conducted open coding, axial coding, and saturation test. Further, we found six core categories (i.e., authority, reliability, internal soundness, communication characteristics, and positivity) together with 12 corresponding categories and 35 concepts, which consist of the criteria of information credibility. Finally, we discussed several general criteria (e.g., expertise) among different contexts and interpreted some new criteria (e.g., positivity) in the current context. 2021 Vol. 40 (7): 714-724 [Abstract] ( 323 ) HTML (150 KB)  PDF (769 KB)  ( 815 )

725 Scholar Recommendation Research Based on Academic Keywords and Co-citation Hot! Xiong Huixiang, Li Xiaomin, Du Jin DOI: 10.3772/j.issn.1000-0135.2021.07.005 The surge in academic data has caused an information overload, which, in turn, burdens scientific research users. Research scholars recommend a method that can improve the efficiency of scientific research and facilitate the smooth development of scientific research. This paper constructs a personalized chemist recommendation model based on combined similarity calculation. The combined similarity calculation includes calculations based on the similarity of scholar feature words and calculations based on the co-citation similarity of scholars. The former considers the similarity of scholars based on the research content, while the latter considers the similarity of scholars based on the co-citation relationship. At the same time, the data in the Chinese Social Sciences Citation Index (CSSCI) database and China National Knowledge Infrastructure (CNKI) are used for model verification, and the accuracy rate, recall rate, and F value are used to evaluate the recommendation effect. The experimental results show that the recommendation model proposed in this paper has achieved good results; thus, it can be recommended for target scholars. Scholars with similar research interests promote academic communication. 2021 Vol. 40 (7): 725-733 [Abstract] ( 370 ) HTML (123 KB)  PDF (995 KB)  ( 550 )

734 Method for Author Name Disambiguation in Specific Research Tasks Hot! Wu Keye, Min Chao, Sun Jianjun, Quan Zhaoxuan DOI: 10.3772/j.issn.1000-0135.2021.07.006 Author name disambiguation is usually required in analyzing the flow of talents and evaluating scholars in academic works. This paper proposes an accurate and convenient method for name disambiguation for a specific research task. In order to simplify calculations and account for the lack of local data, this paper constructs a two-stage name disambiguation framework based on heterogeneous data. The first stage involves fully mining the local associated data, and the second stage combines the authoritative external data. Based on representation, relevant information extraction, relational network construction, semi-fuzzy retrieval, and other steps are carried out to achieve comprehensive and objective name disambiguation. Finally, the superiority of this method is identified and verified through thesis data under the field of artificial intelligence. Compared with manually annotated data, the framework performs better in disambiguation, and solves the problem of synonyms and namesakes in the original data, thus laying a solid foundation for subsequent research tasks. 2021 Vol. 40 (7): 734-744 [Abstract] ( 256 ) HTML (120 KB)  PDF (1605 KB)  ( 736 )

745 Application of SemRep and Burst Detection Algorithm in Bibliometric Analysis—A Case Study on the Development Trend of Drug Therapy Hot! Xu Shuang, Xu Dan, Han Shuang, Yang Ying DOI: 10.3772/j.issn.1000-0135.2021.07.007 Burst detection is a method of detecting frontiers in science by observing the development and changes in burst words, that is, words with a sharp increase in growth rate. SemRep extracts natural language semantic relationships based on Unified Medical Language System (UMLS). This paper reveals the research status and development trend of a field through SemRep combined with the burst detection algorithm, and analyzes the research focus and hotspots in SARS drug therapy research. In the context of the COVID-19 outbreak, this study provides a strong lead for the selection and development of drugs for SARS-CoV-2 prevention and control. Using the dataset on drug therapy of SARS, the SemRep and SemRep semantic processing system were used to extract the drug terminology concept sets with “TREAT” relationship according to the UMLS semantic relationship. Fifty-one effective concepts such as “Ribavirin” were obtained after duplicates were removed. These drugs were routine medications for SARS. They were mainly used for clinical first aid in the event of an outbreak. According to the Kleinberg’s burst detection algorithm, the burst weight index of the drug concepts was calculated. The potential drugs for SARS were obtained by sorting the concepts according to the burst weight index. Most of these drugs were studied in antiviral laboratories after the outbreak was curbed. The method of SemRep combined with burst detection is not only applicable to the field of drug therapy for diseases but also in identifying research hotspots in various disciplines. 2021 Vol. 40 (7): 745-755 [Abstract] ( 118 ) HTML (152 KB)  PDF (1801 KB)  ( 582 )

756 An Analysis of the Evolution of Research Collaboration According to the Academic Careers of Distinguished Researchers in Chemistry Hot! Ou Guiyan, Yue Mingliang, Wu Jiang, Ma Tingcan DOI: 10.3772/j.issn.1000-0135.2021.07.008 With the increasing breadth and depth of interdisciplinarity, research collaboration has become a major trend in scientific research, particularly in the form of co-authored papers. Effective scientific collaborations facilitate the flow of funds and increase research output, thus promoting effective academic careers. In this paper, 235 researchers sponsored by the National Science Fund for Distinguished Young Scholars in the field of chemistry from 2001 to 2010 are used as the sample, and their basic information and work experience are obtained through the resume analysis method. Based on the SCI co-authored papers, we analyzed the evolution of collaboration patterns and roles of these Distinguished Young Scholars at three key points in their academic career in order to provide some insights into their growth pattern. The findings show that researchers with a higher academic level and more research resources and academic contacts were associated with strengthened cooperation between Distinguished Young Scholars from other universities (institutions) in China. The cooperative role is also significantly transformed as their academic experience and prestige increase, as seen in those who had an executive role before being promoted to a senior title, then to the leading role as a mentor. The contribution of scientific research cooperation gradually increases and then tends to balance out. 2021 Vol. 40 (7): 756-767 [Abstract] ( 175 ) HTML (143 KB)  PDF (1758 KB)  ( 442 )

768 Review of Scientific Impact Prediction Hot! Huo Chaoguang, Dong Ke, Wei Ruibin DOI: 10.3772/j.issn.1000-0135.2021.07.009 Driven by data, research on scientific impact prediction is flourishing. As an important part of data-driven prediction in science of science, scientific impact prediction focuses on the future impact prediction of papers, scholars, journals, and institutions on academic entities and aims to provide suggestions for scientific research and scientific management. This paper illustrated the research development of paper impact prediction, scholar impact prediction, journal impact prediction, and institution impact prediction and summarized the features of each kind of prediction. The study proposed two method frameworks and provided an overview on the research trends of indicators, methods, and features in scientific impact prediction. With the development of data elements, data opening, and data sharing, scientific impact prediction will be further improved, leveraging new comprehensive indicators and featuring mining algorithms and time series prediction methods. 2021 Vol. 40 (7): 768-779 [Abstract] ( 323 ) HTML (138 KB)  PDF (2364 KB)  ( 546 )

780 Research Review on Innovation Evaluation of Academic Papers Hot! Luo Zhuoran, Wang Yuqi, Qian Jiajia, Lu Wei DOI: 10.3772/j.issn.1000-0135.2021.07.010 Innovation is an essential requirement in writing academic papers, the core feature that reflects the quality of academic papers, and more importantly, a vital basis for the evaluation of academic papers. This paper investigates the status of research on evaluating innovation in both local and foreign academic papers, identifies the main context of the innovation theory and innovation classification research, and summarizes the connotation of innovation in academic papers. Furthermore, the paper analyzes the evaluation indexes of academic papers based on two aspects and sums up three typical evaluation methods and related research from a technological perspective. Finally, existing problems and future hotspots in research on the evaluation of innovation in academic papers are summarized, and several significant references, which scholars may use to judge future development trends in this field, are introduced. 2021 Vol. 40 (7): 780-790 [Abstract] ( 449 ) HTML (82 KB)  PDF (799 KB)  ( 1303 )