[Purpose/Significance] Identifying key users in social media helps to build a healthy public opinion environment.[Method/Process] Firstly, the content producer identification system and content reviewer identification system were constructed.Based on the two identification systems, hierarchical clustering was used to analyze user profiles.Finally, the results of user profiles in the two identification systems were comprehensively analyzed.The data with the label of "terrorist attack" on the Zhihu platform was selected for empirical analysis.[Result/Conclusion] Integrating the user profile results in the two systems, users can be divided into active content service users, risk users, high-risk users, hardcore users, potential high-quality users, and high-quality users.The research results can help guide public opinion and maintain social security.

[Purpose/Significance] Build a collaborative innovation model based on the perspective of complex network, and explore the evolution logic of user knowledge collaborative innovation network in open innovation community.[Method/Process] Taking ‘pollen club’ community as an example, Ucinet and KH Coder are used to visualize the process of user knowledge collaborative innovation, and explore the structural characteristics, knowledge co-occurrence law and user knowledge co-evolution mechanism in the evolution of innovation network.[Result/Conclusion] Knowledge innovation in open innovation community is a process of continuously promoting knowledge evolution in the behavior of user value co-creation.Among the process, internal and external users share knowledge through collaborative interaction, knowledge resources are integrated and reengineered in accumulation and innovation.Enterprises should design reasonable incentive mechanisms to realize user guidance, deeply interact with users based on relevant topics, optimize product design by using knowledge innovation content, and effectively improve product operation effect.

[Purpose/Significance] The continuous enrichment of scenario elements and their gradual embedding in the short video platform not only provide users with the possibility of anytime and anywhere services, but also create new opportunities for the implementation of the scenario service strategy of the short video platform.In this case, how to configure various contexts based on users' information acceptance expectations in different time and space, so as to form a unique sensory service utility and realize value creation has become another direction of its service model innovation.[Method/Process] Based on the mobile Internet, the scenario elements were embedded into the short video platform to catalyze the sensory utility of service mode elements of the short video platform, to excavate the formation mechanism of the scenario sensory utility of the short video platform, and to refine the formation path of the scenario sensory service effect of the short video platform.[Result/Conclusion] Using the multi case research method, this paper makes an empirical study on the formation process of sensory service utility of short video platform from three dimensions:contextual configuration, user information acceptance expectation and sensory service utility, so as to provide reference for the innovation of scenario sensory service mode of short video platform.

[Purpose/Significance] This paper investigated the improving and optimization strategy of privacy policy of social media apps, to provide suggestions for the collection and usage of personal information.[Method/Process] Based on the Technology Acceptance Model(TAM), this paper conducted the readability analysis and topic identification on 30 privacy policies of social media apps from a dual perception perspective.By comparing with the regulations domestic and abroad, the optimization strategy was proposed based on the analysis of perceived ease of use and perceived usefulness.[Result/Conclusion] The research results show that current privacy policies performed better in naming methods, introduction settings and the number of subtitles from the perspective of readability analysis, but has some limitations in perfunctory content, inappropriate text length, and a high proportion of terms.The identified topics of privacy policies included user rights, privacy policy overview, operator behavior, data storage and sharing, legal protection and regulation, and operator voluntary, while still necessary to be further improved in the field of data sharing and cross-border flow.In future, the optimization strategy of privacy policy can be implemented from the perspective of content integrity, clause pertinence and text readability.

[Purpose/Significance] Public cognitive acuity is one of the dimensions to evaluate the basic soil of government open data.Improving users' cognitive effect has important practical significance.[Method/Process] The cognitive effect of government open data users were compared from the storytelling and traditional information representation method.The experimental platform of COVID-19's epidemic prevention and control data in Guiyang was designed by JAVA to measure the transcendental schema, cognitive load and objective performance in the experimental group and the control group respectively, and in depth interviews with experimental users was performed to obtain the reasons for cognitive differences.[Conclusion/Results] There are significant differences between government open data storytelling and traditional information representation method.Data storytelling can reduce users' cognitive load, improve memory effect and enhance users' multiple perception.

[Purpose/Significance] Presenting the synergy between data rights confirmation policy and scientific research in China is conducive to promoting the process of data rights confirmation in China from theory to practice.[Method/Process] Taking 76 policy texts and 258 scientific research papers related to data confirmation in China as samples, CiteSpace were used to analyze the coordination between policy and scientific research.[Result/Conclusion] In addition to the fact that digital technology first appeared in the field of policy, and the digital economy appeared in the field of policy and scientific research at the same time, the scientific research of data confirmation is much earlier than the policy.In the distribution and emergence of keywords, data circulation, data security, data type, and information protection are all realized in coordination, and data rights confirmation, data opening, and data services are not realized in coordination.The data right confirmation policy and the trend of scientific research are generally not synergistic, but there is a high synergy trend in information protection.It is suggested that the specific content of data confirmation should be expedited in the policy field, and the integration of data confirmation and data transaction should be strengthened in the scientific research field.

[Purpose/Significance] In the context of innovation-driven strategy, industry-university cooperation is an important path to improve technological innovation and productivity.However, due to the lack of coordination, the absence of incentive mechanism and the poor docking between supply and demand, it is difficult to realize the cooperation.[Method/Process] In this paper, a recommendation model of industry-university cooperation based on patent text analysis was proposed.The relevant patent information of enterprises, universities and scientific research institutions was collected.Cluster analysis and patent visualization technology were used to identify the technical blank points of enterprises.Then, the similarity method was used to calculate the similarity between technical blank points of enterprises and existing technologies of universities and scientific research institutions, and the potential partners of enterprises.[Result/Conclusion] Through empirical research, the recommendation model of industry-university cooperation proposed in this paper avoids the lack of objectivity of traditional qualitative methods such as expert consultation through quantitative analysis, and helps to improve the research system related to industry-university cooperation.

[Purpose/Significance] In order to solve the problems of privacy leakage and unclear rights and responsibilities faced by government data sharing in public health emergencies, the concept of blockchain is introduced into the research category of public health emergencies government data sharing, in order to improve the government data open system and sharing mechanism, to strengthen the two-way force of government guidance and data opening in public health emergencies.[Method/Process] Based on the analysis of the current dilemma of data sharing, technologies including blockchain's asymmetric encryption, smart contracts, consensus mechanism, decentralization were integated and public health emergencies government data open sharing model was built from three aspects:data storage layer, data collaboration layer and data application layer, and the operating mechanism of the model was discussed.[Result/Conclusion] The blockchain-based data sharing model has the advantages of strengthening privacy protection, breaking through data barriers, clarifying data rights and responsibilities, and shortening the response time of data transmission.It can effectively optimize the open sharing process of government data for public health emergencies, and improve epidemic prevention and control and emergency management level.

[Purpose/Significance] As the tide of the new era, public data opening is the general trend.Domestic theoretical research on the public data open utilization(PDOU)is less concerned.Therefore, it is necessary to build a scientific and efficient PDOU system to promote the advancement of this research field.[Method/Process] By analyzing the relevant concepts of PDOU and discussing design principles and logical basis of PDOU system, the paper constructed a PDOU system with"open utilization"as the core and focus, with"creating value"as the goal and"data, technology and demand"as the common driving force.[Results/Conclusion] The system framework is composed of five elements:open utilization environment, data open subject, PDOU platform(data management layer, data service layer, communication and interaction layer), target data users, and public value evaluation.

[Purpose/Significance] To sort out and analyze the characteristics of cross-border data circulation, and summarize its enlightenment for data interconnection inside and outside the government.[Method/Process] Relevant literature was retrieved from CNKI, and then the literature was screened according to the research purpose.Using the method of systematic literature review, the paper analyzed the characteristics of cross-border data flow in the content of the filtered literature from three perspectives:definition and characteristics, mode and rule, application and obstacle, and logically pointed out the similarities in form and content of data interconnection in cross-border data flow and inside and outside the government.Which proved the comparability of the two and the transferability of relevant content, and summarized its enlightenment for data interconnection inside and outside the government.[Result/Conclusion] The goal of data interconnection inside and outside the government is not clear, and some institutions still regard data openness as data circulation;lack of relevant data circulation models, the government does not know enough about technology, and it is prone to"technology kidnapping";The"stripe"phenomenon of"data circulation"is more obvious.Learning from the relevant content of cross-border data circulation, the government should focus on how to effectively mine and give full play to the value of data;make full use of the advantages of the new generation of information technologies such as artificial intelligence and blockchain, and avoid the "technological kidnapping" of the government by related enterprises.Create a safe, credible, and efficient data circulation model;at the same time, increase the corresponding top-level design system to eliminate possible obstacles in the process of data circulation;build a corresponding cross-domain and cross-department training system for the interconnection of data inside and outside the government.

[Purpose/Significance] Under the influence of COVID-19, the public's emergency information dissemination behavior became more frequent, and the research on the public's emergency information dissemination mechanism will help policymakers to better formulate information release strategies.[Method/Process] Based on the BDI-Agent model, regarding individuals who disseminating information in Weibo as agents, the paper fully considered individual heterogeneity, the strength of interaction between individuals, and the value of information, defined interaction rules between individuals, and explored relevant factors through simulation experiments.[Result/Conclusion] The study found that the number of individuals disseminating information in Weibo increased significantly with the improvement of the public's individual judgment;the number of individuals disseminating information increased significantly with the improvement of the public's individual attention;the number of individuals disseminating information increased with the public's individual authority.The number of individuals disseminating information decreases significantly with the increase of the public's individual paranoia.

[Purpose/Significance] It is of theoretical and practical significance to study the domestic and foreign personal health information breach notification system, to prevent and control the damage caused by personal health information breach, and to promote the industrialization of the health and medical digital economy.[Method/Process] Using the method of literature analysis and comparative analysis, this paper sorted out the evolution of the personal health information breach notification system at home and abroad, and systematically analyzed the personal health information breach notification system from five aspects:applicable conditions, notification subject, notification content, notification time and method.[Result/Conclusion] China should clearly regard the dynamic balance between protecting the rights of information subjects and promoting the development of the health and medical industry as the legislative purpose, improve the institutional system from the three levels of"laws+regulations+standards", and build diversified personal health information breach.

[Purpose/Significance] Comprehensive humanities and social science journals shoulder the historical mission of cultural inheritance and education.It is of great significance for the high-quality development of comprehensive humanities and social science journals to Study on the Efficiency and Influencing Factors of Knowledge Exchange.[Method/Process] This paper took 46 kinds of comprehensive humanities and social science journals as the research object, used SBM model and Malmquist index model for static and dynamic analysis of knowledge exchange efficiency, and used Tobit model to analyze the influencing factors of knowledge exchange efficiency.[Result/Conclusion] The research shows that the overall level of knowledge exchange efficiency of comprehensive humanities and social science journals is relatively low and there is still a lack of pure technical efficiency and scale efficiency.Academic quality, publishing cycle and running time of journals have passed the test of visibility, they have a significant impact on knowledge exchange efficiency.However, the aging speed of journals and the network dissemination of journals have no significant impact on the knowledge exchange efficiency of journals.

[Purpose/Significance] By analyzing factors affecting reference internationalization in Chinese social science papers, it provides inspiration for optimization of reference internationalization.[Method/Process] 1135856 Chinese papers published in 1998-2017 from 11 social science subjects were collected from CSSCI as research samples.Spearman's correlation, Welch's ANOVA, and multiple linear regression were used to explore the impact of 10 factors on 7 reference internationalization variables.[Result/Conclusion] Reference internationalization differs significantly across disciplines and document types.Longer paper length, high-level publication journals, larger cooperation scale, professional and high-level organizational environment, international collaboration, and funding support all have a positive impact on reference internationalization in Chinese social science papers.This paper analyzes the reasons for the effect of each influencing factor, and gets targeted enlightenment.

[Purpose/Significance] Financial intelligence plays an important role in promoting the development of financial industry, and it is of great significance to sort out the research status of financial intelligence.[Methods/Process] By means of literature survey, this paper comprehensively reviewed and reflected the background, progress and prospect of financial information research.[Results/Conclusion] Compared with other existing intelligence science research, financial intelligence research has obvious differences in research category, research method and research degree.To promote the development of financial intelligence, it is necessary to integrate the content of traditional intelligence science with the characteristics of finance and strengthen the research of financial intelligence theory and financial intelligence system.

[Purpose/Significance] In the past decades, the research field of medical information has been reconstructed by Artificial intelligence technology(AI).In order to clarify the impact of the development of AI in the field of medical information, this study uses named entity recognition technology to identify related technologies, and deeply reveals the characteristics and trends of thematic changes, puts forward three prospects for the future.[Method/Process] In the study, the informations of 26 medical information journals in JCR were collected, and then Vosviewer was used to visually analyze the overall distribution of AI.On this basis, three deep learning models were used to identify and compare the named entities of AI, and finally the development venation was sorted out in five time period.[Result/Conclusion] During the past 20 years, AI has occupied an important position in the field of medical information by Vosviewer;The comparison of three deep learning models shows that the named entity recognition of Bi LSTM-CRF-Attention model is the best, and the F1 value is increased to 88.40%;In the five time periods, The mainstream technologies of AI in the fild of medical information are represented by high and medium frequency words and relatively stable, around the traditional technology, while the branching AI technologies of low frequency words are represented as complex technologies such as deep learning and change over time.In general, the application of AI presents a clear development process:intuition(experience discovery)→support(in-depth understanding)→strategy(enhanced analysis)→post-reasoning(supporting decision)→pre- reasoning(prediction in advance).That is, the whole has entered a more rational and pragmatic state, but there is still a lack of explosive change and also a certain degree of change in the theme drift evolution.This study puts forward three future prospects from the aspects of technology, application and parallel, which strengthens the cognition of the advantages and disadvantages of AI in processing of medical information, and provides theoretical and practical significance for accurately mining multi-source data and providing high-quality medical diagnosis.