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  • 2025 Volume 7 Issue 4
    Published: 01 October 2025
      
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  • Research on Users' Privacy Preferences for Digital Medical Health Information from the Perspective of Sensitivity:Based on#br# a Discrete Choice Experiment
    ZHU Hongcan, CHEN Jili, ZHENG Kaidi, LIU Xianchao
    2025, 7(4): 1-12. https://doi.org/10.19809/j.cnki.kjqbyj.2025.04.001
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    [Purpose/significance]This study investigates differences in digital medical-health information privacy preferences by measuring privacy sensitivity across diverse user groups in multiple contextual scenarios, analyzing variations both within user groups (across contexts) and between user groups (within the same context), thereby providing actionable insights for developing context-aware health information protection frameworks in digital healthcare services. [Method/process]A model of users' sensitivity to digital medical health information was constructed based on contextual integrity theory, and an experimental study was conducted using a discrete choice experiment method. The model was verified and analyzed using a binary logistic regression model. [Result/conclusion]The study shows that in the information subject dimension, highly educated users are more willing to pay extra fees to choose platforms with a higher level of privacy protection or the ability to set a higher level of privacy on their own compared to less educated users. Regarding communication principles, users prefer platforms that offer transparent and easily comprehensible privacy policies. In terms of information types, users tend to safeguard their health status information and payment data while being willing to share basic personal information and medical application data to a certain extent in exchange for more convenient healthcare services or health management solutions.
  • Studying Topic Evolution Based on BERTopic Model and Semantic Function
    QU Jiabin, WANG Mengyang
    2025, 7(4): 13-23. https://doi.org/10.19809/j.cnki.kjqbyj.2025.04.002
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    [Purpose/significance]Topic evolution analysis can help researchers quickly grasp the research hotspots and development trends of a discipline. However, existing topic models often overlook the semantic functions and structures of texts during topic extraction, making it difficult to reveal the deeper patterns of disciplinary development. This paper proposes an integrated framework for topic evolution analysis that combines the BERTopic model with semantic functions, aiming to enrich and improve the methodological system of topic evolution research. [Method/process]Firstly, the BERTopic model is used to extract topics, obtaining the “Topic-Word” distribution. Next, a discourse parsing tool analyzes abstracts into five semantic function segments, resulting in the “Semantic Function-Word” distribution. Finally, the two distributions are mapped to obtain the “Topic-Semantic Function” distribution. This approach analyzes topics from a semantic function perspective and explores the impact of semantic function distribution on topic evolution. [Result/conclusion]An empirical study in the field of library and information science shows that the semantic function distribution of a topic affects its research popularity. Topics oriented towards “Method” and “Objective” may continue to rise in the future, while topics oriented towards “Background” are relatively mature and may enter a decline phase. The proposed method provides a more granular and accurate analysis of discipline development dynamics, helping the academic community better understand the dynamic changes in research hotspots.
  • Research on Identification and Evaluation Method of Medical Experts' Expertise Domains in Online Health Community Based on Knowledge Graph
    XI Yunjiang, ZHANG Qian, LI Man, YU Juan
    2025, 7(4): 24-34. https://doi.org/10.19809/j.cnki.kjqbyj.2025.04.003
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    [Purpose/significance]This study aims to identify the expertise domains of medical experts, and evaluates their domain levels to provide a basis for community expert recommendation. [Method/process]This study utilized the improved OneRel model to structure community historical Q&A into entity relation triples. Then used the knowledge graph triples to test the consistency between the medical knowledge in the community Q&A and the domain knowledge, and finally obtained the doctor's domain levels by aggregating in each expertise domain. [Result/conclusion]Using the data example from xywy.com website, 214 doctors in the community were ranked in terms of their average level of expertise domains and their respective reliable domains levels were identified. The study verified that the basic information self-reported by doctors in online health communities, such as their expertise and personal profiles, did not fully correspond to their real competence characteristics. Compared with other medical expert discovery methods, this method can intelligently identify and evaluate doctors' expertise domains, demonstrating objectivity, accuracy, and strong interpretability.
  • Identifying Key Influencing Factors of Elderly Health Information Search Based on Meta-ethnography
    SUN Zhumei, WANG Zhibing
    2025, 7(4): 35-45. https://doi.org/10.19809/j.cnki.kjqbyj.2025.04.004
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    [Purpose/significance]Health information search is an important way for elderly people to actively cope with aging. Identifying the key factors affecting of their health information searching and exploring the correlation among these factors are of positive significance for promoting the elderly proactive health ability. [Method/process]This paper firstly integrated the original research through a meta-ethnographic approach to form a set of factors influencing the elderly health information search. The DEMATEL method was then used to analyze the interrelationships among the influencing factors and identify the key influencing factors. [Result/conclusion]The study finds that, the influencing factors of elderly health information search mainly come from five dimensions: individual, demand, information, cost, and support. The health awareness, health status, past experience, psychological characteristics, self-efficacy, and cultural level of the individual dimension, the policy direction and medical environment of the support dimension, and the information efficiency of the information dimension are key factors affecting the elderly health information search.
  • Analysis of the Status and Thematic Trends of AI for Science Research Abroad from 2015 to 2024
    WANG Fangyuan, XU Huiting, XUE Jinghua
    2025, 7(4): 46-57. https://doi.org/10.19809/j.cnki.kjqbyj.2025.04.005
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    [Purpose/significance]This paper analyzes the relevant literature in the field of AI for Science （AI4S） in the WoS core database from 2015 to 2024, and sorts out the research status and development trends in this field, aiming to provide forward-looking insights for the application of AI technology in scientific research. [Method/process]This paper combines bibliometric analysis with the BERTopic model to analyze the publication trends, publishing countries, core authors, and topic identification and development trends in the field of AI4S. [Result/conclusion]Through bibliometric analysis, this paper reveals the exponential growth trend of AI4S-related literature, and finds that China ranks first in the number of publications but the number of citations is slightly lower than that of the United States. The study also identifies the core authors and highly cited papers of foreign AI4S research. Through the BERTopic model, 22 topics were identified and summarized into six major research directions. The key application fields include artificial intelligence and educational technology research, medical health and artificial intelligence diagnosis, precision agriculture and climate change, materials chemistry and deep learning, and high-performance lithium battery technology. Some topics such as AI and precision agriculture, AI and mental health, and AI and lithium battery technology have been research hotspots in recent years.
  • Research on the Construction of Domain Knowledge Graph for Assisted Decision Making and its Scenario-oriented Application
    XU Hao, GE Linlin, ZHANG Yan, DENG Sanhong, KANG Zhenyuan
    2025, 7(4): 58-69. https://doi.org/10.19809/j.cnki.kjqbyj.2025.04.006
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    [Purpose/significance]This research constructed a domain knowledge graph and its scenario-oriented application framework for decision support at four levels: the data foundation layer, the key technology layer, the domain knowledge graph construction layer, and the scenario-oriented application layer. This framework aims to provide systematic support for knowledge discovery. [Method/process]Based on the construction of a domain knowledge graph and its scenario-oriented application framework for decision support, this research focuses on the improvement of models and performance evaluation for fine-grained entity and relationship extraction at the discourse level within texts. The optimal model is selected to construct a domain knowledge graph. Taking the field of transformer equipment failure as an example, empirical studies are conducted to realize scenario-oriented applications aimed at decision support. [Result/conclusion]The integrated pipeline knowledge extraction method, which combines the improved BERT-BiLSTM-CRF model and the PURE-RE model, has demonstrated superior comprehensive performance. The knowledge graph constructed for the domain of transformer faults has been verified against the expert knowledge in the "Equipment Standard Defect Knowledge Base", and the search results have passed verification. This effectively assists maintenance personnel in equipment inspection and maintenance, thereby validating the effectiveness and practicality of the framework established in this research. With the support of domain expert knowledge verification, it can effectively empower related fields to conduct decision support.
  • Construction of China's Online Platform Information Value Evaluation System
    FANG Shuyue, SUN Yuan, YE Yuwei, XIA Liling, MOU Saiya, ZHU Mengyi
    2025, 7(4): 70-81. https://doi.org/10.19809/j.cnki.kjqbyj.2025.04.007
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    [Purpose/significance]This paper aims to explore the construction of the information value evaluation system of online platforms in China, so as to provide theoretical support and practical guidance for the information management of online platforms. [Method/process]This paper firstly explores the connotation and dimension of the information value of the online platforms, and uses the analytic hierarchy process to distribute the weight, then,obtains the comprehensive evaluation results of the information value of each online platform through the fuzzy comprehensive evaluation method. [Result/discussion]Through the comprehensive evaluation of the information interaction platforms, the multilateral trading platforms and the complementary innovation platform, it is found that the comprehensive evaluation results of the information value of three platforms are all "higher". Among them, the "information value to individual users" of information interaction platforms and multilateral trading platforms have the highest score, and the “information value to complementary product providers” scores the highest in the complementary innovation platform.
  • Application and Reflection of Full-text Bibliometric from the Perspective of Knowledge Innovation:A Review of the 2024 Academic Salon on Full-text Bibliometric Analysis
    ZHOU Haichen, ZHANG Chengzhi, XU Shuo, MAO Jin, BA Zhichao, ZHANG Yingyi
    2025, 7(4): 82-90. https://doi.org/10.19809/j.cnki.kjqbyj.2025.04.008
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    [Purpose/significance]In December 2024, the 7th Chengdu Conference on Scientometrics & Evaluation was held in Chengdu. This article was conducted to summarize the salon on Full-text Bibliometric analysis of the forum, and reveal the research status and development trends of full-text bibliometric from the perspective of knowledge innovation, providing inspiration for future. [Method/process]The article systematically summarizes and analyzes the presentations and discussions from the salon, exploring the theoretical foundation, application scenarios, and discussions of full-text bibliometric from the perspective of knowledge innovation. [Results/conclusion]Full-text Bibliometric can reveal the micro-processes and underlying mechanisms of knowledge innovation, offering new insights and methods for related research. Its applications in technological evolution and industry-academia integration, scientific data warehouse evaluation, policy text analysis and intelligent computing, as well as entity relationship extraction in academic papers, demonstrate its vast potential in promoting academic research, optimizing policy-making, and driving knowledge innovation. However, the integration of full-text bibliometric analysis with large language models, open science, and research integrity presents numerous challenges.
  • A Measurement and Empirical Research on the Scientific Knowledge Demand of Netizens on Social Media Platform
    ZHANG Rui, ZUO Wanyi, HUANG Wei,
    2025, 7(4): 91-102. https://doi.org/10.19809/j.cnki.kjqbyj.2025.04.009
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    [Purpose/significance]Exploring the scientific knowledge demand of netizens on social media platform will prompt the dissemination and utilization of scientific knowledge, and it plays an important role in enhancement of the scientific literacy level of our general publics. [Method/process]This paper constructed a measurement index system of netizens’ scientific knowledge demand consists of demand breadth, demand strength and demand hierarchy, and adopted a comprehensive evaluation method based upon factor analysis and entropy method. 30 popular science WeChat accounts in different fields are measured and evaluated, and the comprehensive ranking of demand was calculated to explore and compare the demand differences among different types of scientific knowledge. [Result/conclusion]The results show that daily life knowledge and medical knowledge dominate in both demand breadth and demand strength.In contrast, humanities and social sciences knowledge, engineering technology knowledge and natural biological knowledge have relative advantages in different dimensions of demand hierarchy.
  • Reform and Exploration of Talent Cultivation in Public Security Intelligence
    HONG Lei, GAO Guangliang
    2025, 7(4): 103-110. https://doi.org/10.19809/j.cnki.kjqbyj.2025.04.010
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    [Purpose/significance]Public security intelligence work has undergone a significant transformation from passive defense to proactive early warning,with corresponding shifts in its core functions. The cultivation of public security intelligence talents rooted in practical combat has evolved alongside the development of intelligence work,necessitating a clear understanding of its historical development and future prospects. [Method/process]By employing a comprehensive approach that integrates literature analysis,data interpretation,and historical examination,this study systematically reviews the evolution of public security intelligence education from the perspectives of practical intelligence work,the overarching public security education system,and the specific aspects of intelligence education.It delves into the transformative characteristics and driving forces of talent cultivation in public security intelligence. [Result/conclusion]The rapid iteration of public security intelligence operations presents multidimensional challenges and opportunities for public security intelligence education.To adapt to this transformation,future education in this field must focus on cultivating talent with a practical orientation,vigorously developing the discipline of public security intelligence,deepening the scope of intelligence technology education,establishing a systematic theoretical framework for intelligence education, and establishing a modern on-the-job training system for public security intelligence.These efforts aim to nurture a workforce capable of leading practical intelligence operations and possessing high levels of professional expertise and innovation capability.
  • The Multidimensional Quantitative Evaluation of Local Policies for Promoting the Development of New Quality Productive Forces:#br# Based on the "Theme-Tool-Effectiveness" Framework
    PAN Jing, YI Hongjun, LU Yu
    2025, 7(4): 111-121. https://doi.org/10.19809/j.cnki.kjqbyj.2025.04.011
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    [Purpose/significance]The development of new quality productive forces is a crucial strategic goal for national progress, with local policies serving as important conduits for conveying and implementing national strategies. Researching local policies that promote the development of new quality productive forces is significant for the implementation of the national strategy in different regions and for further policy evaluation. [Method/process]By constructing a theme-tool-effectiveness analysis framework and employing LDA topic model, policy tools, and PMC index model, this study conducts a multidimensional quantitative evaluation of local policy texts related to the development of new quality productive forces. [Result/conclusion]The study finds that the distribution of policy quantity follows the trend of East China > Central China > South China > North China/Southwest China > Northeast China > Northwest China. Policy themes comprehensively reflect the main actions of local governments in promoting new quality productive forces, with East China primarily supporting specialized and innovative small and medium-sized enterprises, while Central China focuses on supporting industrial transformation and upgrading. Across the seven major regions, there is a general tendency to use environmental policy tools more than supply-side and demand-side policy tools. The average PMC index for policy effectiveness is above good, with East China having the highest overall PMC score. However, certain issues merit attention: there are significant differences in the use of policy tools across themes, and there is an imbalance between internal and external use of policy tools. Policy effectiveness is still relatively weak in terms of policy content, policy areas, policy targets, and localization. It is recommended that local strengthen the diversity of policy themes, governments enhance the balance of policy tools and improve the comprehensiveness of policy effectiveness during policy formulation.
  • Topic Mining and Evolution Analysis of American Think Tanks' Products on China Based on Structural Topic Model
    SHEN Yi, BA Zhichao, LI Gang
    2025, 7(4): 122-132. https://doi.org/10.19809/j.cnki.kjqbyj.2025.04.012
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    [Purpose/significance]Under the background of the overall strategic competition between the United States and China, measuring and analyzing the topics and trends of American think tanks’ products on China is conducive to understanding the American perception and policy moves towards China. It holds important heuristic significance for coping with external risks, maintaining national security and strategizing for development. [Method/process]Using the full data of research outputs on China from 11 American think tanks as the research sample, this paper explores the topics and evolutionary trends of American think tanks’ products on China, as well as their correlation with China-US economic and diplomatic interactions, through the Structural Topic Model (STM). [Result/conclusion]American think tanks have shown a high level of attention to China in recent years. Their focus centers on six broad categories encompassing 26 themes, such as international affairs of China, China economy, China technology, China-US relations and so on. Different topics show different temporal evolutionary trends, and they have significant correlations with China-US economic and diplomatic interactions.