[Purpose/Significance] From the perspective of digital humanities, this paper uses digital technologies to analyze the social relationship network and spatiotemporal distribution of Jinshi groups in Qing Dynasty, in order to provide a new research paradigm for traditional humanities research.[Method/Process] The data of Jinshi groups in the Qing Dynasty were obtained from CBDB, the spatial distribution map of Jinshi groups in the Qing Dynasty was drawn by GIS, and the social network map of Jinshi groups in the Qing Dynasty was sketched by social network analysis method(SNA).[Result/Conclusion] This study visually displayed the spatiotemporal distribution characteristics of Jinshi in the Qing Dynasty with the help of digital technologies, interpreted the social relationship network of Jinshi groups in the Qing Dynasty in a stereo way, and analyzed it with the combination of historical data, so as to provide a new research perspective for the analysis and interpretation of Jinshi in the Qing Dynasty.

[Purpose/Meaning] Based on the perspective of digital humanities, using digital tools to visually display and analyze the social relationship network of relegated poets in "Complete Collection of Tang Poetry", to provide new research ideas for humanities research.[Methods/Process] Through the collection and cleaning of the data of relegated poets in "Complete Collection of Tang Poetry", the social relations of relegated poets were searched in the CBDB, and the social network analysis method was used to visualize the social relations of relegated poets display and analysis.[Result/Conclusion] From the perspectives of the overall social relationship, core characters, network characteristics, and social group modules of the social relations of the relegated poets in "Complete Collection of Tang Poetry", to help the humanities scholars in-depth interpretation of the social relations of the relegated poets in "Complete Collection of Tang Poetry".

[Purpose/Significance] The traditional development mode of resources can not meet the development needs of the digital humanistic era.With the deepening of the collision between digital and humanistic research, the digital humanistic technology method represented by knowledge graph can provide a new perspective for the in-depth mining of oral memory resources.[Method/Process] The knowledge graph model of oral memory resources was constructed, and oral memory resources of special veterans of the Northeast Anti Japanese coalition army of China Memory Project of the national library were used as the data source for example visual display and multi-dimensional semantic query.[Result/Conclusion] The study verifies the applicability and practicability of knowledge graph technology in resources knowledge mining, knowledge discovery and knowledge service, and effectively innovates the development path of oral memory resources in the digital humanistic environment.

[Purpose/Significance] City profile is an effective way to materialize a city in the information space.The implementation path of city profile based on standard system construction can enrich the relevant theories and provide a reference for city intelligent management.[Method/Process] Based on a comprehensive analysis of existing practices and theories, the study started from the discussion of the connotative features of city profile and existing related technologies and standards, developed city profile standard system based on the idea of faceted modeling, discussed the related theoretical issues of the application and promotion of the standard system and the effect evaluation, constructed the basic framework of the city profile standard system, and explored the practical path of city profile based on the construction of the standard system.[Result/Conclusion] The city profile standard system includes two types of key application standards and standard norms for the construction of city profile.The implementation of city profile based on the standard system can be divided into three parts:demand analysis, city profile construction and platform implementation.

[Purpose/Significance] Academic data plays an important role in scientific dissemination and knowledge sharing.At the same time, academic data disseminate with a very complex movement in scholarly communication.The systematic exploration of the movement process, mechanism and impact factors of academic data in scholarly communication is of great importance to the science community to understand the importance of scholarly communication and knowledge evolution.[Method/Process] By integrating scientific information exchange theory and scholarly communication system theory, a model for modern scholarly communication system was analyzed and proposed.Adopting system dynamics method and the software, Vensim, several simulation experiments on the proposed model was carried out to analyze the factors that influence the movement of academic data in scholarly communication.[Results/Conclusions] The double-circle movement mode of academic data in the scholarly communication system was proposed.The simulation results of the system showed that the strongest factors on increasing the output of academic data were adjusting the input initial value of academic data and the input conversion rate of the system.Therefore, it is necessary to enhance the volumn of basic academic data, to create a stable system to balance the development of both formal and informal scholarly exchanges, eventually to promote the movement of academic data in scholarly communication in a great value.

[Purpose/Significance] The study attempts to extract the fine-grained evidence data of the South China Sea from the document carrier to the document content(full-text search) to the data level.Firstly, it can improve the retrieval performance of the digital resources of the South China Sea literature;secondly, it provides sufficient evidence materials for professionals;and finally, it provides a foundation for the construction of the evidence chain association model of the South China Sea rights protection.[Method/Process] According to the characteristics of the South China Sea rights protection evidence, the extraction rules were formulated.Unstructured data were transformed into structured data through text cleaning, text segmentation, paragraph segmentation, and word segmentation.Then the evidence data extraction effects of Naive Bayes, SVM, Random Forest, DNN, TextCNN, Bi-LSTM, LightGBM and XGBoost were compared respectively.Finally, in order to further improve the accuracy of evidence extraction, "5W" rule filtering and manual verification were added.[Result/Conclusion] The experimental results showed that based on the TensorFlow deep learning framework, the evidence data extraction effect of the DNN model was better, and the accuracy rate was 0.88.Through further integration of "5W" rule filtering and manual verification, the accuracy of evidence extraction was significantly improved.The method of evidence extraction from the South China Sea literature in this article has certain feasibility.

[Purpose/Significance] How to promote health behavior attracts attention during public health events.Under the background of the Novel Coronavirus Vaccination, we investigate how message framing influences preventive health behavior to provide support for information intervention during public health events.[Method/Process] The quasi-experiment of vaccination persuasion knowledge intervention was conducted in 413 residents in January 2021.The influence mechanism of message framing was tested by paired t-test, ANOVA analysis, mediation and moderation analysis.[Result/Conclusion] Both gain-framed and loss-framed message intervention can promote residents' vaccination attitude and intention.The gain-framed message has a greater impact than loss-framed message, and the information acceptance fully mediates the impact of message framing.Perceived susceptibility plays a moderating role in the whole process that message framing influences vaccination intention through information acceptance.Accordingly, information persuasion strategies to promote residents' health behavior in public health events are put forward.

[Purpose/Significance] Current studies on online health communities mainly focus on users' active behaviors, while exploring the discontinuous use behaviors of users on online health communities is of great significance for retaining user groups and promoting the sustainable development of online health communities.[Method/Process] On the basis of literature review and related theory reference, combined with the characteristics of online health communities, the initial influencing factors of discontinuous use behaviors of users on online health communities were extracted, and the influencing factors were identified and corrected by using survey data.[Result/Conclusion] Perceived risk, service quality and cost, system and information quality, and perceived social support are the main factors that affect the discontinuous use behaviors of users on online health communities.Among them, subdivision influencing factors such as service management, doctor's service quality, service fees, system functions, perceived privacy risks, and perceived diagnosis and treatment risks have greater impact on discontinuous use behaviors of users on online health communities, and then some countermeasures are proposed.

[Purpose/Significance] Since the 1970s, the change and enrichment of contexts have promoted the continuous in-depth discussion of information literacy in non-academic contexts.This paper aims to fill this research gap, as there are few studies on the characteristics and trend of information literacy research in the workplace contexts in China.[Method/Process] Based on thorough investigation and summary of relevant literature, the characteristics of current research on information literacy in the workplace contexts can be mainly summarized as follows:the theoretical research is cross-discipline and diversified, practical research is extensive and concrete, educational research attempts to respond to challenges, industrial research represents organizational characteristics, while there are also research deficiencies in these aspects to varying degrees.[Results/Conclusions] Focusing on the research development in the field of library and information science, future-oriented research on information literacy in the workplace contexts should be considered in four aspects:changing theoretical perspectives, expanding application fields, promoting educational reflection, and extending industry demand.

[Purpose/Significance] Meet the needs of education and teaching reform in the era of data intelligence, give full play to the advantages of integrating emerging information technologies such as big data into knowledge visualization, explore and practice visual teaching of subject knowledge based on text big data.[Method/Process] Based on the knowledge visualization theory, subject knowledge visual teaching model of what, why, how and know will be was built, and the Mapping Knowledge Domain was selected as the visual teaching path.Taking informatics as an example, CiteSpace was used to carry out visual teaching practice of subject knowledge for teaching contents such as information concept, information process, information system and emergency information.[Results/Conclusion] The practice results show that knowledge visualization based on text big data can promote students' understanding, memorization, thinking and innovation of knowledge, and effectively improve the expression of knowledge dissemination and the depth of knowledge innovation in subject teaching.

[Purpose/Significance] Investigating the subjective experience of academic WeChat official account users can help optimize the quality and effects of knowledge services.[Method/Process] Based on related models of user experience, an indicator system of the academic WeChat official account user experience effects was constructed from the five dimensions of aesthetic experience, meaning experience, behavior experience, emotional experience, and value experience.According to the matter-element extension method, the matter-element model and calculation process of the user experience effect were given, and the "Academic Circle of Social Sciences" official account was taken as an example.[Result/Conclusion] The user experience of the "Academic Circle of Social Sciences" official account in the aesthetic and meaning dimensions belongs to the satisfaction level, and the experience effect in the behavior, emotion, and value dimensions belongs to the general level.The overall experience effect tends to be satisfactory.The reason for the formation of the experience results were analyzed and optimization strategies are proposed.

[Purpose/Significance] With the formation and development of the digital society, the interaction between data and society has formed a circle-level ecosystem with data, people and environment as the core.The government's open data eco-chain is the most important structural element in the system.[Method/Process] Based on dissipative structure theory, evolutionary theory and social network theory, the study analyzed the evolution process of government open data ecological chain, visually analyzed links in the evolution process of government's open data eco-chain through social network analysis tool Gephi, summarized its main characteristics and extracts the key path of evolution.[Result/Conclusion] The study sorted out the constituent elements and interaction in the evolution process, found and summarized the characteristics, motivation and driving force of the evolution process, studied the formation mechanism and evolution law of each evolution process, and finally made a visual analysis of the evolution process with the government open data of Shenzhen as the evolution starting point, so as to provide reference for the optimal development and data governance of each node on the government's open data eco-chain.

[Purpose/Significance] The study explores the behavioral logic of public participation in government data opening, aiming to promote the realization of the policy goal of wide public participation.[Methods/Process] Comprehensive use of logical analysis methods, theoretical analysis methods, using deconstructive planning behavior theory as an analysis tool, analysed and demonstrated of the generation mechanism of public participation behavior in government data opening.[Results/Conclusions] Public participation in government data opening was affected by three factors:individual perception, environmental influence, and conditional guarantees.Building a data open service system that precisely matches supply and demand, Consolidating policy support and publicity system, establishing a long-term resource protection system, and creating an ecosystem that is conducive to the open use of government data is critical path for promote public participation in government data open services.

[Purpose/Significance] This paper proposes the failure of multi-attribute academic evaluation methods, that is, although the evaluation methods are different, the ranking of evaluation results has a certain degree of acceptability.The choice of evaluation methods seems to become less important.It is of great significance to study its generation mechanism.[Method/Process] Based on theoretical analysis, JCR2019 management journal evaluation was taken as example and linear evaluation, TOPSIS, and factor analysis were used.By calculating the actual weights of different evaluation methods, they were compared under the same framework.[Result/Conclusion] The study found that the high correlation of indicators is the root cause of the failure of the multi-attribute evaluation method.In essence, the actual weight combination of different evaluation methods is not sensitive to the evaluation of high correlation indicators;the higher the correlation of the evaluation indicators, the more serious the failure of the evaluation method;the failure of the evaluation method is also affected by the number of high correlation indicators and the number of evaluation objects;actual weights have important guiding significance for the choice of evaluation methods;we must pay attention to the failure of multi-attribute academic evaluation methods.

[Purpose/Significance] A study on the characteristics in the collaboration and the impact of high-level multidisciplinary academic journals(hereinafter referred to as high-level journal articles) from China is conducive to figuring out a suitable collaboration mode for conducting advanced scientific research in our nation, so as to promote the development of high-level research.[Method/Process] With the division of four types of collaboration scale, comparative analysis and regression analysis were employed to probe into the characteristics in collaboration and impact as well as their relationship for articles published in Nature/Science from China and the US.[Result/Conclusion] In terms of the scientific collaboration, China features large-scale and international collaboration but relatively low participation rate and dominance rate.By contrast, the US prefers small-scale and domestic collaboration, who also has higher participation rate and dominance rate in the international collaboration.As for the impact of publications, the proportions of articles with high academic impact and articles with high Altmetric score are larger among the articles from China.However, these articles are mainly generated by large-scale international collaboration.As for the relationship between the two sides, the number of authors/countries collaborated has a certain influence on publications' impact.However, international collaboration and selection of partners are more important for generating high-impact publications.Collaboration with countries with strong research capability(e.g., the US) can positively increase the impact of articles.