[Purpose/Meaning] Empowerment has become a research focus of library and information cause,but is it a new concept for the new development stage of library and information cause?This paper hopes to analyze the influence of this term on library and information cause and provide some reference for the future application of the term in library and information cause.[Method/Process] In the study,related concepts and theories of Empowerment were sorted out and discriminated,differences between management,structure and psychological empowerment were analyzed from the perspective of organizational management,and differences between digital and knowledge empowerment were compared from the perspective of technological development.The effect of double perspective that can assign to the management of the library and information cause and the similarities and differences in service field were discussed.The related fields of management include library management,emergency management,information management and knowledge management,and the related fields of service include public cultural services,reading therapy,health information services,information literacy education,digital literacy education,etc.[Results/Conclusions] This paper concludes that empowerment is a new concept for library and information cause,and puts forward the organization management and technology development perspective of empowerment can be applied to library and information cause.It mainly includes the multi-dimensional application direction,diversified application subjects and spiral application sequence of Empowerment,promoting the library and information cause research paradigm change,pushing forward the innovation of method and technology of information cause.

[Purpose/Signficance] In order to explore the interdisciplinary rule more accurately,the study constructs a framework to recognize the interdisciplinary features based on domain topics,which helps to identify interdisciplinary topics,interdisciplinary situation and interdisciplinary structure.[Method/Process] 45546 articles in the field of medical informatics in WOS database from 2000—2020 were used for empirical research.Firstly,domain topics were divided based on LDA topic model.Then,Div index was introduced to compare and analyze the interdisciplinary situation.Finally,the disciplinary edge-core subgroup structure was analysed based on co-occurrence network and betweeness centrality.[Result/Conclusion] There are nine sub topics divided,including heart signal sensing system,electronic health technology,electronic medical record system,health app and use behavior,medical care electronic system,randomized treatment experiment,image segmentation and clustering,feature recognition based on machine learning,and cancer treatment risk assessment.Among them,the interdisciplinary degree of the first five subjects shows a fluctuating upward trend in recent five years;In terms of discipline structure,engineering and computer science are the core subjects with deep interdisciplinary degree.This study is helpful for scientific research administrations and researchers to formulate relevant policies,optimize resource allocation,and identify the frontier of disciplines.[Limitations] Due to the incomplete citation information of early journals,the accuracy of interdisciplinary degree calculation would be affected to a certain extent.

[Purpose/Significance] Think Aloud Protocol(TAP) is a data collection method with high authenticity and strong instantaneity,which has been widely used in the field of Library and Information Science(LIS) at home and abroad.However,its application is not highly standardized.Thus,it is necessary to review the published literatures and summarize a standardized application process,and forecast how to serve researches better by TAP in the field of LIS.[Method/Process] Based on the research of Chinese and Global literatures,main research topics which applied TAP were summarized,and seven common standardization problems in the existing research were analyzed.Then,4 core factors affecting the application process of TAP were summarized,including the experimental objects,researchers,experimental environments and method itself.[Result/Conclusion] A standardized application process of TAP was summarized.In future research,the subjects of TAP applications should be broadened and deepen,and each stage of TAP should be further refined and implemented into practical applications.The study and exploration of TAP researchers should be strengthened;different research methods should be used comprehensively and data analysis should be deepened.In this way,providing references for the application of TAP in LIS in the future.

[Purpose/Significance] To understand the influencing factors of users' information searching behavior in virtual academic communities,the purpose is to promote the platform construction of virtual academic communities and promote the utilization of information resources and knowledge exchange in virtual academic communities.[Method/Process] Based on motivation-opportunities-ability model,a virtual academic community factors affecting the user's information search behavior was built,on this basis,corresponding data were obtained via questionnaire,then data were processed and analysed by means of fuzzy qualitative comparative analysis method(fsQCA),preconditions the self-improvement,interests,perceived ease of usewere mined,and combinations affecting the generation of information search behaviour were discussed.[Results/Conclusions] Finally,five combinations are generated.Among them,when motivation,opportunity and ability factors are met at the same time,users of virtual academic community are more likely to conduct information search.

[Purpose/Significance] With the rapid development of the Internet and the increasing popularization of intelligent technologies such as personalized recommendation,people are gradually concerned about the effects of the'information cocoons’.Therefore,how to avoid the negative effects of information cocoon under convenience of the technology today is becoming a more and more important issue.[Method/Process] Based on the PPM model,the structure model of online users' willingness of retention in the information cocoons was constructed and the influencing factors of it were explored.[Result/Conclusion] The results show that information homogeneity,information overloading,time distortion will negatively affect the user's willingness of retention in information cocoons,while cognitive control,perceived value,social presence will produce positive influence on users' willingness of retention in information cocoons.Based on the results,some countermeasures and suggestions are put forward in the end.

[Purpose/Significance] This study explores the influence mechanism of public affect,cognition,information seeking and processing behavior under the global health crisis,which is an extension of the Risk Information Seeking and Processing Model,and can provide decision-making basis for government emergency management and individual self-regulation.[Method/Process] Based on the COVID-19 epidemic health crisis,the influence mechanism model of the public affect,cognition,information seeking and processing behavior was constructed,and the questionnaire data were collected and tested empirically by structural equation model.[Result/Conclusion] Under the global health crisis,the risk perception positively affects the negative initial affect;Negative initial affect and perceived current knowledge positively affect information insufficiency;Information insufficiency positively affects information seeking and systematic processing,while negatively affects heuristic information processing behavior;Information seeking and systematic processing positively affect negative affective response and cognitive response,while heuristic information processing negatively affects negative affective response,but has no significant effect on negative cognitive response.

[Purpose/Significance] The study aims to explore the formation mechanism and law of users' information avoidance behavior in online health communities,reduce users' health information avoidance behavior,and guide the online communities to develop in a better direction.[Method/Process] Integrating the user behavior decision-making process and its main influencing factors,an evolutionary game model between online health communities and users was constructed,and the evolution process of behavior and state of game subjects was analyzed in three different situations:serious disease communities,common disease communities and health care communities by means of system simulation.[Result/Conclusion] In the case that reducing users' information avoidance behavior can only bring limited benefits to the community,improving the weakening degree of information overload can only reduce users' information avoidance behavior in the short term,but in the long term,too high weakening degree will make it difficult for the communities to bear the information processing cost,and then lead to the community abandoning the weakening mechanism.At the same time,the study find that different types of online health communities and user groups have different requirements for information processing cost and information quality.It is necessary to subdivide the types of online health communities and adopt different weakening mechanisms to reduce community information overload.

[Purpose/Significance] Movable cultural relics are of great significance to the inheritance and development of culture.Visualizing knowledge graphs and publishing linked data for movable cultural relics is helpful for better digital preservation,knowledge sharing and intelligent services of movable cultural relics.[Method/Process] The ontology of movable cultural relics is constructed by Protégé ontology development software,and based on this,the knowledge graph of movable cultural relics is constructed using RDF2RDF plug-in and neosemantics plug-in.Finally,the linked data storage of movable cultural relics is realized with the help of D2RQ platform.[Results/Conclusions] The display form of movable cultural relics is transformed from the original single form to a diversified data display form,which improves the efficiency of users browsing and querying information resources of movable cultural relics.

[Purpose/Significance] As the function of the video platform danmaku is well-known to the public,the information of danmaku has exploded,and information usefulness detection gradually highlights the important academic and commercial value.[Method/Process] In this paper,a multi feature fusion based video website danmaku information usefulness detection model was proposed.Firstly,the feature indexes related to the usefulness of danmaku information were extracted by the model from the three perspectives of danmaku information utility,danmaku expression and danmaku user characteristics.Then the important features were selected using random forest,and a machine learning model was established to classify danmaku information,such as logical regression,SVM,decision tree,naive bayes and GBDT,getting the test results of each level of information usefulness.[Results/Conclusion] The results show that the integrated models(GBDT,LightGBM and XGBoost) have better advantages than the single-model algorithm.Finally,according to the research results,the corresponding theoretical and practical significance is put forward.This research expands the research on the characteristics of online information,and also provides a decision-making basis for evaluating and improving the video platform environment.

[Purpose/Significance] There are many risks and threats hidden in the process of smart city construction.Correctly understanding and evaluating these risks is the basis for improving the ability of smart city information security assurance.[Method/Process] From the perspective of risk sources,the main risk sources of smart city information security were identified,the interdependence between indicators was analyzed,an ANP structural model was built,and super decision software was used to calculate the indicator weights.[Results/Conclusion] A smart city information security risk assessment index system composing 4 first-level indicators,8 second-level indicators,and 30 third-level indicators including environmental risk,data risk,user risk,and management risk was constructed.Among them,managers need to pay the most attention to environmental risks,followed by management risks,data risks,user risks,and put forward smart city information security risk countermeasures.

[Purpose/Significance] In the complex network environment,the game behavior between"Internet Big V"and official media increases the uncertainty of the evolution of public opinion,and also leads to different effects of public opinion governance.Therefore,it is an urgent problem for government departments to standardize the behavior strategies of both sides and realize efficient governance of online public opinion.[Method/Process] Based on SEIR under the influence of internal and external factors,using evolutionary game theory,a network public opinion communication model was built with an evolutionary game model of the official media,"Internet Big V"was built and further introduction of government departments to punish mechanism and coordination mechanism.On this basis,the threshold and evolution trend of the spread of public opinion under different conditions were analyzed,as well as the evolution path of the two sides of the game,and finally multiple cases were combined to conduct multi-situation simulation experiments.[Result/Conclusion] The simulation results showed that:the size of the threshold of public opinion propagation can predict the evolution trend of public opinion.The spread heat of open views can influence the behavioral decisions of"Internet Big V"and official media.Government departments through reasonable intervention can urge"Internet Big V"with the official media rational decisions,and promote the construction of"political people"communication platform to reduce the number of fans,and properly handle crisis emergency crisis emergency heat reduction, and achieve the best effect of public opinion governance,thus accelerating the demise of open network views the system.

[Purpose/Significance] With the rapid development of audio knowledge payment,it is facing severe infringement problems.The paper analyzes the evolution process of copyright protection behavior of audio knowledge payment platform from the perspective of evolutionary game,which has certain practical significance to promote the copyright protection of audio knowledge payment products.[Methods/Process] Based on the assumption of bounded rationality,the game model between audio knowledge payment platform and infringers in copyright protection and infringement behavior was built,replication dynamic equation and Jacobian matrix were used to calculate the evolution stability strategy,and conditions of copyright game were quantified.On this basis,Matlab was used to simulate the evolutionary stability strategy under different parameters.[Results/Conclusion] According to the simulation results,the evolutionary game of copyright protection formed three behavior evolution paths under different conditions.In the copyright management of audio knowledge payment products,the purpose of copyright protection can be realized by changing the parameter value,while the probability of winning the rights protection of audio knowledge payment platform through judicial channels increases,which can also significantly improve the results of copyright game,promote the copyright protection of audio knowledge payment platform products and reduce the probability of infringement.

[Purpose/Significance] With the rapid development of information technologies,mobile apps have now become an indispensable tool in people's daily lives,but because of privacy issues,mostly when the user explicitly using APP.Expressed concerns about information security issues and reluctant to disclose their personal information,so how to resolve these privacy concerns and promote users to disclose information is very critical.[Method/Process] This study used the control agency theory as the main research framework,combined with the network effect theory,analyzed the privacy self-disclosure behavior of APP users from three aspects:privacy assurance approaches,network effects and privacy concerns,and used the structural equation model to verify the proposed hypothesis.[Results/Conclusions] The results show that the perceived effectiveness of privacy setting,privacy policy,self-regulation and government legislation can effectively reduce privacy concerns and ultimately promote user information disclosure.Network externality and technology complementarity can weaken the impact of the perceived effectiveness of privacy settings on privacy concerns,and enhance the impact of the perceived effectiveness of government legislation on privacy concerns.In addition,the research results also provide some suggestions for APP service providers,related industry organizations and government departments on how to encourage users with privacy concerns to disclose personal information.

[Purpose/Significance] The archived webpage has credential value,information value and archive value.The research process of home and abroad webpage archiving is sorted out,in order to provide reference and reference for the development and follow-up research of practical projects in my country.[Methods/Process] Referring to the OAIS model,and foreign web archive documents from 1993 to the present were studied,the domestic and foreign web archive research were divided into four stages,which ware the initial research stage,the in-depth development stage,the comprehensive function improvement stage,the exploration stage of the smart practical project;the development overview and research process of each stage are sorted out,and the characteristics of the staged research were summarized.[Results/Conclusions] The web archive practice project is developed in a parallel way of theory and practice.At the same time,continues to explore smart practical projects.Theoretical model,system framework,technological innovation,resource collection method,archive resource assessment,resource development and utilization,and manual configuration are blended and mutually promoted,and jointly push the archived web resources to deeper application.

[Purpose/Significance] Interdisciplinary and interdisciplinary research has become the trend of academic research.The literature hot spot analysis of map,information and archives discipline helps researchers quickly grasp the hot issues and future trends in this field,and also provides theoretical reference for interdisciplinary integration.[Method/Process] Taking the subject literature of map and information archives from 2016 to 2021 as the research object,the literature keyword co-occurrence network was constructed by using complex network technology,and the hot spots of map and information archives were mined by using gephi network analysis and visualization tools.[Results/Conclusions] After excavating the hot research topics of Library Science,information science and archival science,the characteristics of the existing literature hot topics were analyzed from the perspective of the first-class discipline of graphics,information and archives,and the next literature hot topics and research direction of the discipline were put forward,so as to provide guidance and reference for subsequent researchers.