［Purpose/significance］ With the rapid development of computational humanities in recent years,the necessity and urgency of computational humanities education have become increasingly prominent.Computational humanities education,which is characterized by diverse value demands and innovative technical methods,its positioning,system construction and future development can no longer be avoided.［Method/process］ This article reviews the development history of computational humanities education,points out the characteristics of education in computational humanities that are different from other disciplines,discusses the core issues in computational humanities education,analyzes the various elements of computational humanities education,and illustrates feasible methods for implementing computational humanities education.［Result/conclusion］ Diverse disciplinary backgrounds,multiple types of educational forms,teaching content that balances computing and humanities,and a training goal oriented towards digital cultural strategy are the main characteristics of computational humanities education.On this basis,“Computational X” not only provides ideas for building a complete computational humanities discipline system,but also provides a useful model for the development of computational humanities education.

［Purpose/significance］ This paper proposes an analytical dimension from Isaiah Berlin’s typology of problems to evaluate the effectiveness of generative artificial intelligence(GAI) in intelligence work.［Method/process］ Through literature analysis and critical thinking,Berlin’s typology of problems is mapped to intelligence work,and the advantages and limitations of GAI in dealing with facts/experience,logic/form,philosophy/intellectual problems in intelligence are analyzed evaluated.［Result/conclusion］ GAI may be advantageous over intelligence workers in handling factual/empirical and logical/formal problems but not necessarily so in dealing with philosophical/intellectual problems in intelligence work.Based on this,GAI’s propect in intelligence work is discussed.

［Purpose/significance］ Exploring how AIGC technology drives changes in information interaction and its implications for library services is crucial for future service innovation and enhancing user experiences.［Method/process］ This study starts by examining the impacts of AIGC on content creation,information acquisition,and human-computer interaction,as well as its effects on user experiences.It then investigates users’ psychological adaptation across three stages of technology acceptance:cognitive adaptation,short-term usage,and long-term development,to understand their response to these technological changes.Finally,a set of optimization strategies and methods tailored for library services in the AIGC era are proposed.［Result/conclusion］ To adapt to this new landscape,libraries are advised to prioritize data value,promote ecological integration,and establish convenient and efficient information environments.Additionally,recommendations include simplifying interfaces,redesigning user experiences,and providing intuitive services.Addressing changes in user psychology,libraries should offer professional guidance,develop specialized resource navigations to support user adaptation,and foster collaborative growth between librarians and users to enhance technological skills.Furthermore,starting from service design,it is crucial to reshape reading service models and promote knowledge exchange and innovation.

［Purpose/significance］ Based on the theoretical analysis methods and ideas of dynamic competition,this paper analyzes the intelligence attributes and intelligence needs of the dynamic export control competition between China and the United States,and provides new thinking for the academic research field and practical services of competitive intelligence.［Method/process］ By means of literature research,expert interview and questionnaire survey,this paper integrates the theory of dynamic competition into the competitive actions of China-US export control,and analyzes the competitive intelligence attributes of US export control to China and our country’s response to US export control.This paper summarizes the characteristics of competitive intelligence requirements for export control in China and the United States from four aspects:the evolution process of export control in China and the United States,legislative dynamics,regulatory agencies and regulatory means,and puts forward the user groups of competitive intelligence generated by export control in China and the United States and the specific needs of different user groups.［Result/conclusion］ From the perspective of dynamic competition theory,China-US export control is a series of alternating competitive actions and responses,which is a typical competitive intelligence behavior with characteristics of continuity,dynamics,complexity and comprehensiveness,and will generate strong demands for competitive intelligence at the levels of government,enterprises,scientific research and service organizations.It is of both theoretical and practical value to study the demand of competitive intelligence for China and US export control.

［Purpose/significance］ The diffusion of scientific papers into the technological domain plays a crucial role in fostering technological innovation.However,the diffusion rates of papers in the technological domain vary,and it remains unclear whether the speed of diffusion affects the resulting diffusion effects.［Method/process］ This study utilizes the citation relationships between patents and papers,employing papers from the Web of Science database from 1980 to 2009 and granted patents from the USPTO database from 1980 to 2020 as the core dataset.The diffusion speed of papers into the technological domain is measured using citation rates and the time lag.The diffusion effects are comprehensively measured through the intensity and scope of technological impacts resulting from diffusion.Additionally,the interaction effect between time lag and citation rate is introduced to analyze the relationship between the speed of paper diffusion and its diffusion effects.Furthermore,papers continuously cited by patents are selected as the subjects of study to analyze the relationship between the diffusion rate and diffusion effects during different diffusion periods.［Result/conclusion］ The study finds that the overall diffusion rate of papers is continuously increasing.The diffusion rate exhibits an inverted U-shaped relationship with both the intensity and scope of technological impacts.The time lag demonstrates a U-shaped relationship with both the intensity and scope of technological impacts.Moreover,the time lag significantly moderates the relationship between diffusion rate and diffusion effects.Furthermore,during different diffusion periods,the early and middle-stage diffusion rates show an inverted U-shaped relationship with both the intensity and scope of technological impacts,whereas the late-stage diffusion rates exhibit a U-shaped relationship with both the intensity and scope of technological impacts.

［Purpose/significance］ Information alienation and information cocoon in the process of knowledge service have spawned systematic innovation of knowledge service.Through knowledge service scenario replication and behavioral cognitive cloning,the pursuit of complete reproduction of knowledge demand links and personalized knowledge service product customization in heterogeneous situations is of great significance to the intelligent extension and intelligent transformation of knowledge services.［Method/process］ Based on the theoretical derivation of knowledge engineering implementation and knowledge twin of digital twin,the conceptual model of knowledge service twin system is constructed throughout the knowledge service life cycle,the architecture and mechanism of library knowledge service twin are constructed by embedding library application scenarios,and the knowledge reconstruction and value recombination behaviors between knowledge service twin ecology and reality,twin ecology and twin state,and twin state are elaborated.［Result/conclusion］ The knowledge service twin system includes four related subsystems:knowledge service context twin,knowledge service content twin,knowledge service object twin and knowledge service behavior twin.Through the twin transmission of knowledge memes and the reorganization and reuse of knowledge tuples,the accurate portrayal of knowledge service requirements,the deduction of knowledge service behavior paths,and the decision support of knowledge services are realized,which provides a new logical breakthrough for the intelligent development of knowledge services and provides value guidance for the optimization and transformation of library knowledge services.In addition,the collaborative system,implementation risks and technical integration of the knowledge service twin system are systematically analyzed and discussed.

［Purpose/significance］ As a typical information ecosystem,the sustainable development of an online medical platform depends on the level of its ecology.The construction of ecological evaluation index system is not only a necessary supplement to the evaluation index system of online medical platform,but also helps to expand the research scene of ecological evaluation.［Method/process］ Based on information ecology theory,Delphi method and analytic hierarchy process are used to construct an ecological evaluation index system of the information ecosystem of online medical platform,which is composed of five dimensions of “dynamic-pressure-state-influence-response” based on DPSIR model.［Result/conclusion］ Online medical platform should focus on stimulating internal motivation;information niche overlap is the main source of platform pressure;improving the evaluation of online medical platforms by society and peers is an important means to improve the status of the platform;resource attraction and resource consolidation ability are the key points to improve the platform influence;system innovation ability is an essential factor to enhance platform’s response ability.

［Purpose/significance］ This paper explores a new pattern.It is used to address such a challenge that using low energy consumption and high efficiency computing power to process multi-source heterogeneous data characterized by high complexity of semantic environments,uncertain knowledge boundaries,strong adversarial information games,and sparse data samples.［Method/process］ In the context of the rapid development of big data and artificial intelligence technology,the paper analyzes the concepts of multi-source heterogeneous data,small computing power,aggregation and development trends in intelligence analysis.Based on I/O model and data flow conversion,studies the path of human-machine augmented computing power and the hierarchy of supporting data value implementation,proposes a multi-source heterogeneous data aggregation model with human-machine augmented computing power in intelligence analysis(MHDAM-HAC),and apply it to the dynamic intelligence analysis work.［Result/conclusion］ By summarizing the development status of the technical field and focusing on certain technical topics to discover the hidden knowledge,it is verified that the small computing power aggregation mode of multi-source heterogeneous data constructed in this study can effectively improve the problems faced by intelligence analysis work,achieve the reproducibility of some intelligence generation processes,and promote new discoveries in intelligence analysis,which can be used as an implementation method in new practices.

［Purpose/significance］ Propose a method for constructing diachronic profiling of scientific research institutions based on literature digitization,providing support for the panoramic and dynamic depiction of the development process of scientific research institutions and the analysis of institutional competitors in science and technology competitive information service.［Method/process］ According to the general process of profiling implementation,we first construct a label system for the diachronic profiling of scientific research institutions,and propose a idea of dividing the time window for it.On this basis,a diachronic profiling generation model of scientific research institutions based on literature digitization is constructed,and the effectiveness of the profiling method is verified through journal papers.［Result/conclusion］ Empirical evidence proves that the model is feasible and effective,and can systematically display the dynamic evolution of the attribute features of scientific research institutions.

［Purpose/significance］ From the perspective of knowledge exchange ecology,this paper explores the preferences of users’ cross-platform knowledge exchange behavior based on video resources,so as to provide effective guidance for users to carry out interaction on multiple platforms and realize high-value knowledge exchange.［Method/process］ By aligning users who conduct cross-platform knowledge exchange on Bilibili and Weibo,and obtaining 7215 full video content,330367 comment texts of indicators and homogenized videos published by them on the two platforms,based on the knowledge ecosystem framework,cross-platform knowledge exchange preferences such as content publishing and comment interaction were explored for knowledge producers and knowledge dissolvers respectively.［Result/conclusion］ Knowledge producers publish homogenized videos regularly on different platforms to obtain better interactive feedback from knowledge consumers,and display titles differently according to platform positioning and platform function differences.Comment interaction preferences of knowledge disaggregators in cross-platform knowledge exchange are related to platform characteristics.［Limitations］ The limitation of this paper is that only the high-influence knowledge producer groups in Bilibili and Weibo are selected for the study,and the behavioral patterns of more diversified popular knowledge producers in different platforms can be expanded and analysed in subsequent studies.

［Purpose/significance］ Exploring the influencing factors and generation mechanism of online health information substitution search behavior from the perspective of phenomenography is helpful to enrich the theoretical paradigm of information behavior research and provide corresponding suggestions and references for solving the problem of substitution search.［Method/process］ Based on the framework of meaning construction theory model,this paper analyzes the model elements of online health information alternative search behavior from the four dimensions of “situation-gap-bridge-result”,and uses the qualitative method of phenomenon graph analysis to deeply explore the internal mechanism of this behavior,and constructs the mechanism relationship model of online health information alternative search behavior.［Result/conclusion］ The research results reveal that the mechanism of online health information substitution search behavior can be divided into four sub-mechanisms: scenario triggering,condition control,bridge construction,and result feedback,and its mechanism relationship is clarified,which provides theoretical reference for future researchers to study the mechanism of online health information substitution search behavior.

［Purpose/significance］ Placing the identification of technological opportunities under the mapping of market competition attributes helps enterprises choose more easily grasped technological opportunities and reduce technological innovation risks.［Method/process］ This article constructs a framework for identifying enterprise technological opportunities driven by patent data and mapping market competition attributes.Firstly,based on the “C-M-T” competitor analysis framework,a 3D recognition model is created including market monopoly,market share and market attention.Secondly,the patent strength index based on the patent portfolio analysis method is introduced to analyze the market competition intensity of different types of technology opportunities.Finally,taking blockchain technology as an empirical field,we identified 22 technical opportunities,including 5 types,and recommended them to different types of enterprises.［Result/conclusion］ The comprehensive analysis process shows that the identification results of this article have rich market competition information,while reflecting both technological opportunities and risks,and can better meet the demands of enterprises for technological opportunity selection.

［Purpose/significance］ Technology gatekeepers play a key role in influencing the dissemination of new technology information,and effective identification of gatekeepers is conducive to better support technology innovation subjects in the field.［Method/process］ Based on the definition of technology gatekeeper and combined with the theory of science-technology interaction,this paper selected the field of blockchain technology as the research object,constructed the scholar cooperation network and citation network,and screened the gatekeepers that promoted the flow of knowledge on the basis of the original technology gatekeeper identification method.［Result/conclusion］ The experimental results show that the gatekeepers selected by this method have a controlling and promoting effect in the process of knowledge flow.Compared with the traditional gatekeepers,the gatekeepers identified by this method have a more prominent contribution and promoting effect on the development of the field,and have more influence on the development of the professional field.

［Purpose/significance］ The formation of network public opinion users’ communication behavior is closely related to the psychological activities of netizens.From the perspective of psychology,the psychological distance analysis and quantification of the netizens’ communication groups will help to clarify the formation mechanism of netizens’ communication behavior from the psychological origin,and provide theoretical and practical reference for government cyberspace offices at all levels.［Method/process］ The psychological distance is summarized and deduced based on the perspective of psychological theory.Three sub-parameters named spatiotemporal fluctuation,semantic correlation,and emotional identification,are extracted to measure psychological distance perception intensity and classify the perceived intensity.［Result/conclusion］ It provides a new theoretical perspective for the research of network public opinion.The psychological distance perception intensity can well show the spatiotemporal popularity,semantic theme evolution and public opinion emotion reversal trend of public opinion development.And it can provide scientific theoretical support and quantitative basis for public opinion control work.

［Purpose/significance］ Information and Communication Technology (ICT) policy serves as a vital strategic instrument for guiding socio-economic transformation and augmenting government governance capacity and public services.Identifying the heterogeneity in ICT policy adoption and concerns among governments is vital for narrowing digital divides and fostering balanced economic development.［Method/process］ This paper investigates spatio-temporal differences in government attention allocation to ICT policies and underlying influence mechanisms based on Social Representation Theory (SRT).First,the study employs the Structural Topic Model (STM) to identify key issues in ICT policies.Subsequently,it quantifies variations in attention allocation among regional governments concerning distinct ICT policy issues,considering attention intensity,core content,and thematic synergies.Second,the analysis delves into the dynamic evolution of ICT policy attention allocation by regional governments.The examination then extends to the mechanisms influencing ICT policy attention allocation,considering factors such as geographic location,issue time,and policy citation counts.Finally,the research explores the moderating impact of policy type,validity level,and administrative level on the distribution of attention to ICT policy in diverse economic regions.［Result/conclusion］ The findings indicate that the central government displays attention diversity and relative stability,contrasting with the local government’s pronounced prioritization and the occurrence of short-term spikes in attention.Geographic location,issue time,and policy citations significantly influence attention allocation,with the mechanism contingent on each topic.Moreover,policy type,validity level,and administrative level serve as moderating factors,influencing attention allocation differences among decision-making groups concerning governing philosophy,government power,and institutional level.

［Purpose/significance］ Exploring the integration of knowledge in the China’s open public data based on CSSCI Chinese journal literature,this paper can provide reference for the development of knowledge integration in the China’s open public data.［Method/process］ Based on the theories of disciplinary measures and the perspective of citation analysis,the author takes the articles in the field of open public data in the journals of CSSCI database as a dataset,and adopts the Brillouin index,cross-disciplinary citation index and weighted cross-disciplinary citation index of disciplinary diversity indicators and the midpoint centrality,intermediate centrality,proximity centrality,and agglomeration subgroup analysis of disciplinary cohesion indicators to explore the disciplinary knowledge integration in China’s open public data.［Result/conclusion］ The results show that the knowledge in China’s open public data boasts a wide range of sources,and interdisciplinary nature is increasing year by year.Among them,the disciplines of information technology,social science I,and economics and management science enjoy a higher degree of richness and balance.The knowledge flow between information technology and social science I is the most frequent in the process of knowledge integration,and some disciplines are closely connected each other,acting as the bridge of knowledge integration.However,there is also a phenomenon of “small groups” and knowledge barriers do exist in some disciplines.

［Purpose/significance］ As an important science and technology information resource in China,science and technology report constantly promotes the development of national science and technology innovation.It is of great significance to construct a fine-grained knowledge map of science and technology report policy and explore its application value to understand,formulate and optimize relevant policies,ensure the quality of science and technology report,improve the work efficiency of science and technology,and promote national science and technology innovation.［Method/process］ Collect and sort out the science and technology report policies in the past decade,dig into the basic information and policy text content,use SciAIEngine,Excel,Gephi and other tools to classify and cluster fine-grained knowledge,and build the fine-grained knowledge map of science and technology report policies.According to the fine-grained knowledge correlation between policies,explore the application value of the map in the policy field of science and technology report.［Result/conclusion］ Fine-grained knowledge map can be used for knowledge query,knowledge statistics and content clustering analysis of science and technology reporting policies,and can also provide a certain basis for policy optimization.In the future,further exploration can be made in the construction of science and technology reporting system,sharing of science and technology resources,intellectual property protection and national science and technology reporting service system.Although this study is insufficient,it still has some help and inspiration for future scholars.

［Purpose/significance］ Multimodal public opinion representation is the foundation for multimodal public opinion computation and analysis.This paper explores a public opinion representation algorithm that assigns dynamic weights to different modal features,which can more accurately capture the dependencies between modalities,significantly reduce the complexity of multimodal public opinion representation,and decrease the consumption of computational resources.［Method/process］ The SEFusion-MPOR algorithm proposed in this paper,builds upon the features of pre-trained models.Through fully connected layers,gate mechanisms,and activation functions,it constructs compression and activation operators to obtain dynamic weights for each modality.By using matrix multiplication,these dynamic weights are applied to the corresponding modalities to construct a network for multimodal feature fusion for public opinion representation.［Result/conclusion］ Experiments conducted on two public multimodal public opinion datasets,Memotion 3 and MVSA-multiple,show that the proposed representation method outperforms baseline models in several subtasks.This method achieves the effects of complex representation algorithms through simple operations and is characterized by interpretability and generalizability.Its efficiency and accuracy in characterization are not only suitable for public opinion intelligence processing,but also applicable to the general multimodal information representation in intelligence analysis work.［Limitations］ The validation of this study is limited to bimodal datasets and does not involve datasets with a broader range of modalities.

［Purpose/significance］ This study develops a framework for integrating LLM-based agents into the domain of security risk situation awareness.This initiative aims to serve as a benchmark for facilitating the intelligent transformation of security intelligence operations,thereby supporting the advancement of national capabilities in security risk monitoring and early warning.［Method/process］ Employing normative research methodologies,this article initially addresses the research progress of LLM-based agents and their empowerment of enhancing security risk situational awareness.Following this,guided by the principles of systems theory,game theory,and risk assessment theory,it delves into the operational mechanisms behind security risk situational awareness as propelled by LLM-based agents.Conclusively,it establishes a framework for security risk situational awareness predicated on LLM-based agents and elucidates its inherent meanings.［Result/conclusion］ The framework,grounded on LLM-based agents,intelligently perceives elements of risk situations.It relies on the collaboration and game theory of multiple agents to intelligently evaluate the security risk situation.Using simulation and modeling techniques as an entry point,it intelligently analyzes and applies risk situation intelligence,aiming for a systematic and precise depiction of security risk situations.This lays the foundation for the practical application of LLM-based agents in the field of security intelligence.

［Purpose/significance］ The 20th Party Congress proposes to prioritize the protection of people’s health in the strategic position of development,and policy as a key driver to achieve this goal plays an important role in guiding and supporting it.Establishing and comparing the connections between the macro and meso levels of our health information policy can advance the overall development of the health sector in China.［Method/process］ In conjunction with the development of health programs in different regions,a comparative study of the 14th Five-Year National Health Plan issued by the State Council and the health information policy texts issued by 25 regions in China was conducted by using text similarity computation.［Result/conclusion］ Chinese medicine health services,epidemic relief,industry integration,and elderly health have the highest attention in each region,presenting policy coupling with the central government.Ningxia Hui Autonomous Region and Guangxi Zhuang Autonomous Region have strong policy integrity;Anhui Province and Hainan Province have gradually formed regional characteristics of the health industry;and Guangdong Province and Hunan Province have outstanding single values,showing differences in policy formulation.On this basis,suggestions are made to strengthen policy synergies between the central government and the local government,enhance inter-regional experience collaboration,and tap regional advantages to build a characteristic health industry pattern.