［Purpose/significance］ Persona is a fast and precise data analysis tool to analyze user behavior patterns,consumption habits and other business information,which can lay the foundation for precise marketing and user experience improvement ［Method/process］ By the method of literature analysis,from the dimensions of definition,constituent elements,models and methods,this paper carries out a careful review of the latest research results of persona,points out the different modeling methods of persona,sums up the characteristics of these methods and the future direction of development,finally shows the implications of persona on Library and Information Science ［Result/conclusion］ As an emerging data analysis tool,its theoretical study and practical application are still relatively weak,so there is still a lot of room for exploration Through the literature review,the paper finds out the direction for further exploration and provides references for further research

［Purpose/significance］ Based on the research on open source intelligence (OSINT) at home and abroad,this paper summarizes the theoretical and application achievements and shortcomings in order to provides guideline for future research［Method/process］ After visualizing the annual publishing trend and analyzing keyword cooccurrence of literature with quantitative method,we further concludes the concept of OSINT and summarizes the research content and structure combined with the DIWK model［Result/conclusion］ OSINT has been extensively explored,especially in the concept,collection,fusion,quality evaluation,model construction,etcHowever,the research on OSINT is still in its infancy,the research on theoretical models and methods is relatively lessIn addition,the application scenarios and content still need to be expanded

In recent years,under the trend of “traffic economy”,social media platforms have excessively used algorithmic technology to push users into “information cocoons” and “echo chambers”The extreme views caused by group polarization have increased significantlySo the study in the formation mechanism of group polarization on the platform can provide a reference for the government to regulate the polarization of public opinionOn the basis of reviewing relevant domestic and foreign research literature on group polarization,through the observation of the case,the study summarizes the social effects of network polarization and the causes of group polarization in social media platformsBased on previous studies and summarized factors,the study analyzed the three combined forces of network group polarization,and constructed the dynamic mechanism model and formation mechanism of the formation mechanism and guiding strategies of group polarization in Social Media PlatformsBased on the obtained model and the conclusions,the study proposes corresponding guidance strategies.

Abstract:The construction of emergency intelligence system is a powerful basis for management and decisionmaking after major public health events.However,there are still some deficiencies in the current emergency intelligence system in the aspects of intelligence storage,intelligence sharing,intelligence traceability,rapid warning and linkage response.Therefore,based on the current emerging blockchain technology,this paper introduces the ideas of blockchain,such as nontampering,decentralization,traceability and selftriggering,into the construction of emergency intelligence system.We use blockchain to store,share and trace intelligence integrally,uses smart contract to set early warning threshold,and broadcast all over the network to generate gear linkage response mode.According to the different stages of the development of the epidemic,we improve the emergency information system under the current major public health events,so as to provide the basis and guarantee for improving the national emergency management ability.

［Purpose/significance］ User portrait describes the behavioral characteristics of the user group of a specific product，and provides merchants with multifaceted user information，so that merchants can understand their customers，improve products or services，and bring possibilities for precision marketing［Method/process］ Based on the online review，the conceptual model of user portrait is constructed from three dimensions：user information attribute，hotel information attribute and user evaluation information attributeThen the tool of Protégé is used to establish the ontology to realize the association between user portrait attributes，and accomplish the complete description of the hotel users’ characteristics［Result/conclusion］ Taking the online reviews of Ctrip hotels in Beijing as an example，the dimensions of user，hotel，and comment information are visualized to build user portraitThe result provides basis for merchants to understand customers’ needs and implement the strategy of precision marketing

［Purpose/significance］ On the basis of domestic research,this paper systematically sorts out related literatures on data fusion and integration abroad,aiming at providing references for the work in the field of data fusion and integration［Method/processes］ This paper mainly reviews relevant research,research approaches and methods,and applications and challenges,and points out future research directions from three aspects:concept,path and application［Result/conclusions］ Research approaches and methods include data fusion and integration model and framework,phasebased strategy,featurebased representation method and semanticbased applicationAnd it is found that there are common or special application challenges in each field

［Purpose/significance］ Humanities scholars face the technical dilemma of using traditional means to perceive data and the humanistic illusion of interactive cognition of data in the era of big dataFor spreading Chinese traditional culture and telling Chinese stories well,regardless of producerdriven or consumerdriven modes,it’s necessarily to pursue an information exchange and communication tool with both technical and humanistic frameworkData Storytelling (data narrative) can be endowed with new usage context and meaning in this sense,and supported by data science theory and practice,so as to become an important node of digital humanities methodology even technology system［Method/process］ The research starts from the data perception and data interaction cognitive dilemmas in the era of big data,and clarifies the concept and logical context of data narrative through literature surveys,and refines the basic elements and theoretical foundations of data narrativeThen compares the application scenarios of early fields of data storytelling,such as media,business,education,etc,and in which analyzes the value of user experience,emotion,knowledge perception and communication,and cognitiondriven value of data storytelling,and then summarizes the application and practical significance of data narration from the perspective of Digital Humanities;finally puts forward the path and method of digital humanities for research and education by using data storytelling［Result/conclusion］The exploration and development of digital humanities in different languages and cultures have been iteratively upgraded around the technical law of data awareness and value discovery,as well as the humanistic framework or paradigm of narrative discourse systemUsing data science as a platform,information visualization as product or service form,and narratology as channel for value realization,data storytelling will be beneficial to promote the development of digital humanities,and become an important tool for integrating data resource,even spreading Chinese culture and stories

［Purpose/significance］ This paper aims to expound largescale knowledge graph and its typical application,analyze the challenges and countermeasures it faces,and present its development trend ［Method/process］ Using the methods of network investigation and content analysis,the paper systematically explores the largescale knowledge graph and its typical applications,its challenges and countermeasures,as well as its development trends ［Result/conclusion］ The typical applications of largescale knowledge graph are semantic search,indepth question and answer,intelligent recommendation,etc It faces the challenges of feature knowledge representation,knowledge lacking,knowledge updating,function comprehensiveness,and so on It is developing in the direction of specialization,openness and intelligence

［Purpose/significance］Exploring the formation mechanism of discontinued behavior of strongties social media users and the interaction mode of variables so as to provide comments and suggestions for strongties social media developers and operators to improve service quality,optimize user experience and improve user stickiness［Method/process］With the typical application of strongties social media WeChat Moment as the research object,this article gets the text data by depth interview and adopts grounded theory to extract concepts and categories through open coding,axial coding and selective coding,and builds the conceptual model under the framework of SOR theory［Result/conclusion］ The situational factors (internal factors of the platform) and environmental factors (external factors of the platform) stimulate users to generate negative emotional cognition,which leads to different levels of discontinued behavior,and personal factors consisting of demographic factors,personality traits,usage characteristics,and relationship characteristics modulate the discontinued behavior of strongties social medias users

［Purpose/significance］ To explore the basic characteristics and internal regularity of the spread of network false information over time under the infodemic,to provide some theoretical support for the management of the spread of network false information under the infodemic,and to provide an effective way for relevant departments and platforms to curb the spread of network false information［Method/process］ Using the crawler program in python language to collect the data set of network false information about the novel coronavirus pneumonia,constructing the time series of network false information dissemination,using statistical analysis,text classification,and topic mining technology,from the quantity,source and subject dimension to explore the dynamic transmission characteristics and regularity of network false information under the infodemic over time［Result/conclusion］ The study shows that the network false information under the infodemic presents a segmented evolution,videoization and repeated fluctuations in the spreading regularity,and the COVID19 infodemic paralleled the propagation of the COVID19 epidemicIts sources and topics are different in the different stages of time series

［Purpose/significance］ Personal information security impact assessment can improve the effective use of personal information，reduce personal information security compliance risk and promote information protection［Method/process］ To guarantee the specific practical assessment，the thesis divides the flow of PISIA into phases，analyzes respective execution flow of each phase，and formulates assessment templates，including template for threshold assessment，map data flow template，safety risk analysis，and management template and the report template for personal information security impact assessment［Result/conclusion］The division of flow analysis and the use of templates can provide a constructive reference for assessment，thus improving the assessment efficiencyWith the development of the new technology，the intelligent assessment for personal information lifecycle will be the future research direction.

［Purpose/significance］ By studying the knowledge sharing model of virtual communities in metaverse field,we provide a path for efficient knowledge sharing and innovation in future virtual communities［Method/process］ Based on the analysis of relevant practices and existing research,combined with the transformation of knowledge sharing in virtual community in metaverse field,this paper constructs a knowledge sharing mode of virtual community in metaverse field［Result/conclusion］ It is concluded that when users share knowledge in the virtual community under metaverse field,they start from the threedimensional selection and acquisition of community knowledge,then carry out situational knowledge internalized absorption and create a “knowledge black box”,and finally spread and share it into the community knowledge through private domain knowledge broadcasting,so as to promote the efficient sharing and innovation of knowledge in the virtual community［Limitations］ Due to the lack of virtual community practices in metaverse field,it does not have sufficient empirical conditions for this study

Abstract:［Purpose/significance］ The paper aims to learn from the experience of the challenge project of research impact improvement in North America university library and promote the related services in China［Method/process］ Ten North American university libraries were selected to investigate the challenge project from aspects of challenge name,release method,application tools and task content［Result/conclusion］ The success stems from the focus on theoretical basis,accumulation of rich experience,selection of challenge projects and preparation of sufficient resourcesBased on the experience of North America,University libraries in China should create challenge projects,explore localization service paths,improve the ability to control research evaluation and promotion tools,and develop service projects from the aspects of standardizing Identity document,popularizing measurement indicators,imparting improvement skills,encouraging international exchanges,and guiding open access

［Purpose/significance］ This paper explores the influencing factors of social media fatigue and the interaction between social media fatigue and user’s passive behaviors,in order to enrich related theories of the user behavior and provide guidance for the healthy development of social media［Method/process］ This research uses the depth interview to collect data based on the grounded theoryThrough open coding,spindle coding,selective coding and theoretical saturation test,a model of social media fatigue influencing factors and negative behavior is developed［Result/conclusion］ External environmental factors affect the social media users’ personal cognition,and then environmental factors and users’ personal factors together have direct effect on social media fatigueSocial media fatigue further leads to users’ passive behaviorDifferent intensity and sources of fatigue cause different degrees of passive behaviors

With the increasing scale of social question and answer (Q&A) community,the average quality of the users is decreased and the difficulty of content search is increased on the websitesTherefore,the main challenges for the high quality development of the Q&A community are to control the quality of the Q&A,to ensure users’ searching experience,and to distinguish the quality of usersUser profiling is a common and effective method for user description and modelingThis paper selects more than 120 thousand users’ activity index from social Q&A communities within 1342 daysCombining with the users’ practice in recommendation system and search engines,the paper constructs users’ profiles from users’ experience,participation,quality of answers,and developmentThe results are verified by specific user dataThis paper presents some methods to mark the user characteristics,and discusses the problems that may be encountered when dealing with the user characteristics of the communityThe paper provides references for the analysis of distinguishing users in the community,which can be used as the basis for the analysis of the user groups and the monitoring of community behavior

［Purpose/significance］ Digital twin technology brings new opportunities for digital economic growth and smart cities constructionAs an important part of smart city,the smart library scenario services based on digital twin technology will be a main direction for future transformation and upgrading［Method/process］ By analyzing the concept and characteristics of digital twin technology,we propose the application scenario and architecture of digital twin technology in smart libraries,and combine with the“scenarioinformation expectationsituation”,explore the path and model of scenariobased services for smart libraries with digital twin technology［Result/conclusion］ Digital twin technology has a wide range of application scenarios in smart libraries,and can provide better scenariobased services for users through the bidirectional iterative optimization of virtual libraries and physical librariesStandardization of construction,sharing of information,professionalization of developing talents and rationalization of privacy will be the development trend of innovative practice of scenariobased service of smart libraries with digital twin technology

［Purpose/significance］ In the new era，the network public opinion presents new characteristicsThe traditional public opinion information management method has been far from meeting the actual needsTherefore，it is necessary to develop a more scientific method to study the knowledge organizing of network public opinion［Method/process］ Based on the analysis of network public opinion information organizing technology，this paper defines the network public opinion knowledge map structuralization，analyzes the knowledge demand of network public opinion management activities，elaborates the construction method of network public opinion knowledge map，and proposes a knowledge organizing structure for network public opinion based on knowledge map［Result/conclusion］ The experiment shows that the proposed method can provide more precise management capabilities，so that it can efficiently detect public hotspots and offer decision support for network public opinion guidance

［Purpose/significance］ The information science (IS) needs inheritance and innovation in the transition. The discipline system of information science is reconstructed for national security strategy and development strategy in digital intelligence era. ［Method/process］ The features of digital intelligence era and the connotation of “three systems” are understanded, starting from the postgraduate education. The paper discusses the origin of IS, and English and Chinese normal forms of IS. The linear structure of information chain is transformed to ring-type structure. This article puts forward the “information /intelligence integrated normal form” of IS. The author differentiates and analyses some English terms to clear the fuzzy. Reviewing some viewpoints of the discipline system of IS, the system is reconstructed. ［Result/conclusion］ The generalized IS and narrow IS are distinguished to deal with the relationship of military IS and civil IS. The similarities and differences of the two “IS” of English context and Chinese context are made clear. The integrated normal form merges together “information” normal form and “intelligence” normal form to some extent. The discipline system of IS with structure of layer-stepping and concentric circles type contributes fully to reflect complete picture of IS.

［Purpose/significance］ As for the complex and changeable characteristics of national security scenarios,multisource information needs to be fused for situational awareness and situation analysis of national security events,which could provide comprehensive,realtime and accurate data support for emergency management of national security events［Method/process］ We first analyze the intelligence sources of national security events from the perspective of the threeworld theory;then,we propose an eventcentric multisource information collaborative awareness mechanism as well as a situation analysis framework based on the “timespacetopic” model;finally,we developed a sample situational awareness and analysis system for national security events based on the methodology proposed in our paper［Result/conclusion］ With the help of information organization and information analysis theories and methods,the orderly organization and multidimensional analysis of situation information related to national security events can promote the effective use of situation information,thereby improving the efficiency of emergency response to national security events

［Purpose/significance］ In order to distinct the conceptual framework of Internet users’ information cocoon,clarify the influencing factors and formation mechanism of information cocoon,and prevent the emergence of social phenomenon of group polarization and social differentiation.［Method/process］ Based on the grounded theory,this paper constructs a conceptual framework model of influencing factors of network users’ information cocoon after refining and coding the data from in-depth interviews.［Result/conclusion］ The results show that information narrowing,group polarization,information echo and filtering bubble are the important influencing factors of information cocoon.Finally,the paper puts forward the countermeasures and suggestions to focus on information echo and filtering bubble,optimize information algorithm and improve users’ information literacy.

It has become a consensus that big data can drive government governance.As to how big data drives government governance,there are three questions need to be answered:what is the connotation of government data governance?What are the main application areas?Is there a data governance dilemma?The connotation of government data governance has a triple definition of element theory,feature theory and function theory.Big data has driven the transformation of government governance concepts,governance structures,governance methods and governance processes,and has played a role in urban governance,environmental governance,and targeted poverty alleviation.Big data has also promoted the innovation of government decision-making concepts,model transformation and process reconstruction.However,multiple dilemmas such as institutional shackles and technological risks,tool rationality and value loss,social justice,data awareness,and data capabilities have blocked the process of government data governance.The following issues need to be studied in depth in the future:how the reform of bureaucracy promotes the transformation of government data governance,the reshaping of government-enterprise relations in the era of big data,how data governance promotes social justice,and the improvement of grassroots government data capabilities.

与著名情报学家、原上海科学技术情报研究所副所长缪其浩先生偶然一次的交流，谈起对中国情报学以及情报研究的看法，缪所长颇有感触，并最终促成了此次访谈。针对缪其浩先生提出的中国情报学研究需要进入“后Intelligence时代”，我们向他提出了几个情报学者关心的诸如“为什么提出‘后Intelligence’的情报学研究”，“如何看待后Intelligence情报学研究”，以及“如何看待当下的中国企业情报工作”等问题。本次访谈以《情报理论与实践》编辑部记者问，缪先生答的方式进行。

［Purpose/significance］ This paper constructs the product feature extraction and sentiment classification model for online reviews，which can provide decision support for product designers to improve and optimize products［Method/process］ The paper proposes the product feature extraction and sentiment classification model based on convolution neural network algorithmThe model uses the convolution neural network to classify the short online reviews，tags the result labels on the product feature words，which are extracted from the corresponding reviews，and adopts the word vector to cluster the product feature wordsThe laptop and cell phone reviews crawled online are used to train and test the model［Result/conclusion］ The results show that the model can effectively realize online reviews analysis with sound product feature extraction and high accuracy rate of sentiment classification