[Objective/Meaning] Facing the complex new situation of national security,the information science community needs to expand the problem areas related to national security intelligence,and develop information science theories,methods and technologies that can provide guidance for national security intelligence work.Exploring the influence of the thought of "Holistic View of National Security" on the research of intelligence methods will help the information science community to grasp the content and direction of discipline construction.[Research Design/Method] Using literature survey method and content analysis method,to explore the related issues of intelligence method research based on "A Holistic View of National Security".[Conclusion/Discovery] Demonstrated the necessity of conducting research on intelligence methods based on the "Holistic View of National Security",combing out common intelligence methods applicable to national security governance and the key issues of intelligence method research under the "Holistic View of National Security".

[Objective] This paper aimed to establish a public perception-driven division methods of city circles.[Methods] Firstly,LDA was used to extract the city identities of different cities,and sentiment analysis was used to value city identities.Then,the city network was constructed to depict the correlation between cities,based on the coupling relationship between city identities.Finally,the relationship between cities was measured by network structures and analyzed by content semantics to discover city circles.[Results] Firstly,we collected user's question-and-answer contents describing city identities of provincial capitals in China on Zhihu,an online Q&A platform.Then,we extracted city identities,constructed city network,and calculated relationship between cities.Finally,we discovered 9 city circles with strong independence in sample data.[Limitations] The method of faceted organization and analysis with different granularities was not introduced to explore the relationship between cities by multi-granularity of city identities.[Conclusions] This method could discover the potential relationship between cities and their circle structures according to public impression,redefine the criteria for the division of city circle,and strengthen the connotation of city circle.

[Purpose/Significance] To clarify the research status of gamification in the field of Library Information Science,and to provide reference for promoting the theoretical research and practical work of gamification in China.[Method/Process] Was based on the literature review's steps of "recognition-selection-classification-discussion",from 5 aspects,namely gamification theory construction,gamification information system,gamified user behavior,gamification practice application and combination with emerging fields the paper analyzed research development both home and abroard.[Results/Conclusion] At present,gamification has been extensively explored in the field of Library Information Science.The research scope and depth had different emphases and advantages,which has gradually shifted from gamification theory construction and system design to focus on gamification user behavior.But on the whole,the development of gamification in China was still in its infancy.This paper proposed possible future research trends from the perspective of organization,user and system,for researchers and games.Insights were provided by system designers,decision makers,and managers to better understand the various issues in gamification projects.

[Purpose/Significance] The enterprise patent big data is used to construct a high-dimensional cloud model to predict the enterprise growth.[Method/Process] In this study,listed companies on GEM in the Chinese stock market were selected as the research object.According to the enterprise patent clustering results,the reverse cloud model was used to generate the patented cloud model to transform the neural network neurons and construct the cloud model.The enterprise growth was calculated by factor analysis and divided into four categories by cluster analysis.Unbalanced data was supplemented through cloud models.[Result/Conclusion] The research showed that the high-dimensional cloud neural network can well predict the enterprise growth,with the accuracy and stability of the predict being improved,and also showed that the enterprise patent played an important role in its growth.The influence of enterprise patent on growth was complex:the number of patent homogeneity,the proportion of invention patent,and the number of patent rights can promote the enterprise growth while the sheer number of patents had a negative impact on the enterprise growth.

[Purpose/Significance] The method of obtaining technology hot topics through text mining of literature and patents has gradually matured.However,the influence of the public on the future development direction of technology has not been considered in the relevant research.Using the social media WeChat Official Accounts as data source and embedding the socially aware into judgment,a more comprehensive perspective can be adopted to identify the technology hot topics and analyze its development situation.This paper presented a research framework for the identification and development situation analysis of technology hot topics based on the WeChat Official Accounts,the shortcomings of uncovering the influences of the public on the technology topics changed in existing research could be made up in a more reasonable way.[Method/Process] Firstly,the WCI was used to choose the WeChat Official Accounts for the identification of technology hot topics.Secondly,based on the text mining,the LDA topic model was applied to the extraction of technology topics.Thirdly,the technology hot topics were identified combined with the socially aware.At the same time,the development situation of technology topics were analyzed with the method of IPA analysis.Finally,taking the graphene technology as an example,the feasibility and effect of the method was verified.[Results/Conclusion] Identifying the hot topics of graphene technology from 2015 to 2018,and locating the current technology topics in the dominant area,maintenance area,opportunity area and improvement area.The development situation of graphene technology hot topics was analyzed and assessed based on the case results.

[Purpose/Significance] The open innovation community can help companies to collect knowledge shared by external users and identify valuable ideas.However,users often lack the motivation to share knowledge,which may lead to the failure of communities.Thus,it is necessary to examine the factors affecting users' knowledge sharing.[Method/Process] This research developed the model based on social cognition theory.Then it used the MIUI forum,a typical open innovation community in China,as an example to crawl data and conduct data analysis with Stata.[Results/Conclusions] The results showed that innovative self-efficacy,outcome expectation,social identity and community influence had significant positive impacts on users' knowledge sharing behavior.User experience had a negative moderation effect on innovation self-efficacy,and a positive moderation effect on the outcome expectation.It had also a partial moderation effect on social identity and community influence.

[Purpose/Significance] Investigate the influencing factors and function mechanism of the willingness of short users' continued use,and provide some suggestions from the perspective of future administration for short video product designers,operators and public administrators.[Method/Process] Users' continued use the online commentary text of "Vibrato" users as the data source,and the concepts and categories are extracted by open coding,spindle coding and selective coding of grounded theory.At last the conceptual model is constructed on this basis to analyze the influence from different factors on the short video users' continued use.[Result/Conclusion] Information users factors,information factors, information technology factors and information environment factors act on the user's media contact experience,generating different emotional feedback and affecting the willingness of short video users to continue to use.In additon,the information users factors consisting of individual characteristics,usage habits and motivations played a role in moderating the continued willingness of short video users.Thus,to keep the short video industry developing lasting,fast and healthy,short video product designers,operators and public administrators should perfect their management styles,operation models and supervision systems based on present conditions of our country.

[Purpose/Significance] Open government is an important element of supporting social management in the new era.Analyzing the recognition,interaction and communication of open government from the perspective of user participation behavior is of great significance for eliminating the digital divide between government and users and improving user participation degree.[Method/Process] Logistic equation and Markov model were combined in this paper to explore and predict the trend of user participation behavior of open government over time,and "thought torch" was taken as a sample government officials to verify the level of user participation degree.[Result/Conclusion] The results showed that there was interaction between user participation behavior and forwarding behavior was more vulnerable to praise behavior and comment behavior;the development of user participation behavior could be predicted by the integration model,and then the government official could be guided to carry out real-time early warning;when information resources focus on international relations,public participation degree would significantly increase.

[Purpose/Significance] This paper researched on the effect of experienced utility on continuous sharing intention of knowledge in social network.[Method/Process] Using experienced utility as independent variable,continuous sharing intention of knowledge as dependent variable,group identity as mediating variables,psychological attachment and perceptual fit as moderating variables,the paper constructed influence mechanism model of effect of experienced utility on continuous sharing intention of knowledge in social network.And the sample data was obtained through questionnaire survey.The data was analyzed by using research methods SEM and Multilevel model,and were processed through AMOS22.0.[Results/Conclusion] And it concluded that experienced utility had significant positive effect on continuous sharing intention through mediating variables group identity,psychological attachment and perceptual fit had significant positive moderating effect on experienced utility effect on group identity.Besides,there was differential effect of experienced utility on continuous sharing intention of knowledge in terms of gender,age and education.And finally,the paper analyzed and discussed the research results,indicating the theoretical and practical implication of the research conclusion.

[Purpose/Significance] In order to solve the problem of scattered,disordered and fragmented multi-source heterogeneous enterprise data of the current network open platform,the Bi-LSTM-CRF deep learning model was proposed for the named entities recognition in the business field.[Method/Process] This method included three kinds of named entities:enterprise full name entity,enterprise short name entity and personal name entity.[Result/Conclusion] The experimental results showed that the average F value of the recognition rate of the three types of named entities,namely enterprise full entity,enterprise abbreviation entity and person name entity,was 90.85%,which verified the effectiveness of the proposed method.It was proved that this study effectively improved the efficiency of named entity recognition in the commercial field.

[Purpose/Significance] Since a lot of medical evaluation information is accumulated with the application and development of "Internet+" in the medical service industry,sentiment analysis technology can be used to mine and utilize it effectively,so as to provide reference for medical management.[Method/Process] A medical sentiment semantic classification dictionary was constructed based on the Frame Semantics theory.Based on the dictionary and some rules,the sentiment of online medical reviews was analyzed with annotation of sentiment type,sentiment topic,polarity and strength,etc.[Result/Conclusion] Through the test of online medical review data,a higher accuracy rate and recall rate were obtained,which proved the validity and scientificity of the research method.It is a useful exploration for the further development of emotional analysis in the field of medical health.

[Purpose/Significance] In the virtual learning community of which the quality of resources is uneven,the quality of resources is indirectly judged by measuring the reputation of knowledge contributors,which is conducive to solving the problem of resource selection of users.[Method/Process] The main influencing factors of the trust recipients of the virtual learning community users were determined by the literature analysis method.The relationship between behavior structure and trust influencing factors of virtual learning community users was analyzed.Based on the questionnaire survey method,the credit evaluation index system of the knowledge community of the virtual learning community was constructed.Finally,it was applied to carry out community trusted user identification experiment in the "Computer Technology Forum".[Result/Conclusion] The research found that the credit evaluation of knowledge contributors can be carried out from the authoritative and professional knowledge capabilities of users,and the reputation measurement method based on the reputation evaluation index system had higher credible user identification performance.

[Purpose/Significance] With the rapid development of smart media technology,more and more enterprises use a variety of smart media platforms to conduct information interaction with users by obtaining user information data,analyzing user information behavior to understand user needs,and improving user information service quality.[Method/Process] Based on the Model of IS Success,this paper constructed influencing factors model of the information interactive willingness between enterprises and users in the context of smart media based on the information ecology theory,and conducted an empirical study through questionnaires and structural equations to verify the effectiveness of the model.[Result/Conclusion] The results showed that the quality of smart media system,information quality,service quality and immersion experience had a positive impact on user satisfaction,and user satisfaction had a positive impact on information interaction behavior.This study can help enterprises to improve the interactive functions of smart media and play a guiding role in the healthy development of smart media platforms.

[Purpose/Significance] With the rapid development of China's economy,people put forward higher requirements for health management and medical quality.Intelligent medical service mode has become an important trend in the development of China's medical field.This paper analyzed the process of information interaction behavior in depth in order to provide theoretical basis and practical guidance for the follow-up research and development.[Methods/Process] Using literature research and qualitative analysis,the paper analyzed the components and interaction process of information interaction behavior in the context of intelligent medical treatment,and using social network analysis,the paper explored the network topology of user information interaction in the context of intelligent medical treatment.[Results/Conclusion] The whole process of information interaction in the context of intelligent medical treatment were affected by factors such as users,information,media,technology and environment.Under the support of stable and orderly social network structure,information interaction behavior could play its maximum effectiveness.

[Objective/Significance] To explore the influencing factors of social media users' health information communication behaviors and analyze the relationship between their cognition-motive and communication behaviors is of great significance to understand users' health communication behaviors and provide quality health information services.[Method/Process] Based on the risk perception theory and the problem solving situation theory,the influence mechanism model of the health information communication of social media users was constructed,and the empirical study was conducted through questionnaire survey and structural equation.[Results/Conclusions] The results showed that risk perception,problem cognition and involvement cognition positively affected information communication behavior through situational motivation,and the education level of social media users influenced their cognition of health problems.

[Purpose/Significance] The paper provides the basis for government micro-blog emotions tend and the future research direction by studying the method of emotional polarity.[Method/Process] With the case of shanghai municipal public security bureau weibo,this paper showed the usability of the emotional polarity model,and analyzed the function of explicit information.Finally,the study gave the correlation analysis of this information.[Result/Conclusion] The result uncovered the accuracy of the model and that there was significant correlation between comments and forwarding number.At the same time,there was significant correlation between comments and emotional polarity with the low amount of forwarding.Moreover,when the amount of like was larger than the number of comments,the content of weibo itself has a positive emotional tendency.

[Purpose/Significance] This paper studied the privacy setting behavior of social media users in Chinese context.It provided reference for the development of privacy setting.[Method/Process] This paper took Wechat users as example and constructed an integrated model of privacy setting based on Technology Acceptance Model(TAM)and theory of planned behavior(TPB).[Result/Conclusion] Behavior of privacy setting was mainly influenced by privacy setting intention and perceived control;Privacy concern,perceived usefulness and perceived ease of use were positively related to privacy setting intention;perceived ease of use,trust and interactional justice contribute to perceived control;Privacy concern and perceived ease of use had significant impact on perceived usefulness.