[Purpose/Significance]The research aimed to reveal the diabetes-related information needs of users in social Q&A websites and the evolution of these information needs over time.[Method/Process]Based on the diabetes-related question texts from a Chinese social Q&A website,a co-word network was constructed,then word frequency analysis,social network analysis and community detection methods were applied to determine the evolution path of the network communities,and meanwhile the characteristics and evolution of information needs were visually represented.[Result/Conclusion]The information needs expressed by users tended to be concentrated in the past decade.Information need for health management has increased greatly,but has not become a core concern yet.Users were advised to pay more attention to health management,and the public health department should do more to promote diabetes prevention,and strengthen prevention and control of complications.

[Purpose/Significance]Through the research on the influencing mechanism of the value cooperative creation of the business network information ecological chain,this paper identified the key influencing factors,which had important reference significance for the value increase of the business website,the improvement of customer satisfaction and the value increment of the whole ecological chain,and enriched the theoretical system.[Method/Process]This paper constructed the process model of value cooperative creation of business network information ecological chain,and established the index system of influencing factors,collected the original data by using expert scoring method,and analyzed the influencing degree of each factor by using fuzzy set theory-DEMATEL method.[Results/Conclusion]Finally,8 factors,such as customer satisfaction,were identified as the key influencing factors of the business network information ecological chain.Three suggestions were put forward to promote and optimize the value cooperative creation of business network information ecological chain.

[Purpose/Significance]The evolution of core topics on the main path can reflect the direction of industry development,highlight industry hotspots and predict the future development of technology,judge the inheritance and evolution relationship between technical topics.[Method/Process]The study buildt evolution method that highlighted core themes on main path.The method was different from text mining and clustering methods.It was link count based on main path of citation network mapping patent classification numbers.The technical subject content of the node was evolved and calculated on the main path by replacing the technical subject with the patented classification numbers.Changes in the content of technical topics highlighted the core themes and their development in the main path.[Result/Conclusion]The rationality of this method was verified by displaying the thematic evolution diagram of OLED.

[Purpose/Meaning]In the context of the new normal economy and global innovation,it provided theoretical basis for building an ecological chain of scientific and technological information services that supported scientific and technological innovation and sustainable development.[Method/Process]From the perspective of ecology,based on the theories of information ecology,service ecosystem and value co-creation,this paper analyzed the composition and characteristics of the ecological chain of science and technology information service,constructed the ecological chain model of science and technology information service,and discussed the factors affecting the operation of the ecological chain.[Result/Conclusion]The ecological chain of scientific and technological information service oriented to scientific and technological innovation was a structural relationship formed between multiple service subjects,and the essence of its operation was to realize the value co-creation of multiple subjects.

[Purpose/Significance]This paper aimed to explore the impact and action path of information content characteristics on users' recommender behaviors in mobile health applications,and to draw up opinions and suggestions which have positive significance for operations and management.[Method/Process]Taking the the ELM model as the theoretical framework,and by integrating the revelant factors of Information System Success Models and Word Of Mouth Marketing,this article constructed two action paths:central information content characteristics to self-recommendation and edge information content characteristics to conformity-recommendation,and focused on the moderating effect of perceived needs to propose hypotheses and construct research models.The empirical research used the log tracking experiment and questionnaire to obtian 288 valid data from mobile health APP users and test model with SmartPLS2.0.[Result/Conclusion]Information quality,service quality and system quality positively influenced users' self-recommendation intention;Cognitive reputation of applications,cognitive reputation of doctor and cognitive reputation of hospital positively influenced users' conformity-recommendation intention;Perceived information needed positively moderates the relationship between the self-recommendation intention and recommender behaviors,and did not moderate the relationship between the conformity-recommendation intention and recommender behaviors.

[Purpose/Significance]This paper investigated the key influencing factors of knowledge sharing in academic virtual communities from subjective perception,which is helpful to guide the knowledge exchange behavior in virtual environment.[Method/Process]Based on the UTAUT model,a comprehensive effect model including performance expectancy,effort expectancy,social influence,facilitating conditions and perceived knowledge advantage was constructed.Structural equation model and regression analysis were used to analyze 352 valid questionnaires.[Results/Conclusions]The results showed that performance expectancy,effort expectancy,social influence positively affected the willingness to share knowledge,and then affected knowledge sharing behavior.Facilitating conditions positively affected knowledge sharing behavior.Perceived knowledge advantage played the role of moderator in the relationship between regulating variables,knowledge sharing willingness and sharing behavior,but the adjustment role between self-identity and knowledge sharing willingness was not significant.Increasing performance expectancy and effort expectancy of knowledge sharing,the sense of belonging,self-identity and self-efficacy of community members,and maintaining an appropriate perceived knowledge advantage were conducive to improving the knowledge sharing behaviors of virtual communities.

[Purpose/Significance]Study on the health information needs of senior online community users can promote accurate medical education throug Intertnet,optimize online community services,and attract more elderly people to use the network to share and obtain health information.[Method/Process]This paper adopted the method of web text mining and selected 5296 pieces of health-related texts published by users in the"Older Home"forum as a corpus.TextRank and TF-IDF two keyword extraction algorithms were conducted to extract keywords for each text.Keywords co-occurrence network was constructed for social network analysis with important keywords and topics identification.[Result/Conclusion]The results showed that the health information needs of senior online community users could be divided into four types:principles and methods of TCM regimen,lifestyle adjustment and change,disease prevention and aging response,food nutrition value and efficacy.There were complex interlaced relationships among different types of needs.The health information needed expressed by users remain at the physiological level,while mental health and social resilience were potential information needs.The method of web text mining could effectively utilize user-generated text data to display user health information needs and discover problems.

[Purpose/Significance]The continuous use of information technology is an important indicator of its success.Exploring the influencing factors of users' continuous use intention is a prerequisite for solving the loss of WeChat mini program users.[Method/Process]Based on the technology acceptance model and the expectation confirmation model,this paper constructed the continuous use intention model of WeChat mini program,and used the combination of reference classic scale and in-depth interview to propose research hypothesis,determine the questionnaire and collect data.Based on the empirical analysis,the influencing factors of the continued use intention of WeChat mini program users were confirmed.[Result/Conclusion]The study found that the WeChat mini program continues to use the intent impact mechanism as follows:(1)The degree of user expectation confirmation had a significant positive impact on perceived ease of use,perceived usefulness,and perceived entertainment;(2)User satisfaction was an important factor affecting the intention of continuous use;(3)The user's using habit had no significant positive impact on the intention of continuous use.The research results have certain theoretical and practical significance.

[Purpose/Significance]With the approaching of the big data and artificial intelligence age,people have been paying great attention to the medical-assisted decision making and mining for the medical health knowledge based on the data driving.As the basis of medical information analysis and medical knowledge services,medical health knowledge graphs play a significant role in the medical artificial intelligence and medical information retrieval.[Method/Process]Therefore,based on the actual application demand in medical field and proceeded with such key technologies as acquisition of medical big data,annotation of medical entities and their relations,identification of medical entities,linkage of medical entities,mining for relations of medical entities,as well as expression and storage of Chinese medical health knowledge graphs,this paper put forward a theoretical framework regarding construction of the medical health knowledge graph integrated with multi-data sources.[Result/Conclusion]The construction of knowledge maps for the medical field was a very important basic task,and it is also an important development direction in the field of artificial intelligence.

[Purpose/Importance]The research results of text sentient analysis were sorted out and quantitatively analyzed,which was helpful to understand the status of subject research and publishing,and it had certain reference value for subsequent research.[methods/Procedures]This paper made a statistical analysis of the published journals and author teams,and uses co-word method to study the relationship between keywords,and discussed the research hot spots and current situation of text sentient analysis in the past decade.[Results/Conclusion]The results showed that the research on text sentiment analysis in China in the past two years mainly included two methods:machine learning based on emotion dictionary and deep learning based on neural network.At last,the paper pointed out the future research direction of the two methods.

[Purpose/Significance]In view of the compound sentence pattern in the product reviews,this paper realized the semantic matching and extraction of the feature opinion pairs,and made clear the indicators and weights of the reviews credibility so as to select and analyze the trusted reviews of the products.[Method/Process]Based on semantic matching algorithm of feature opinion pairs,we extracted the feature opinion pairs and calculated the semantic indicator of reviews,then used Fuzzy Analytic Hierarchy Process to determine the weight of indicators.[Result/Conclusion]The experiment showed that semantic matching algorithm of the feature opinion pairs had a great advantage on the performance of the recall,accuracy and F-score,compared with the method of extracting feature points from the single sentence.It could not only evaluate the credibility of the overall review of the product,but also could be refined to the reliability analysis of the product feature level.Meanwhile,it could screen credible reviews for users and improve the efficiency of shopping decisions.

[Purpose/Significance]With the development of e-government,ministries collaborate more and more frequently,and government data sharing has become an inevitable trend.Traditional government data sharing models are mainly based on a common database.However,this mode fails to fully consider the authority,security and other factors,making government data sharing still difficult.[Method/Process]This paper proposed a bus-based government data sharing application model,which used unified data,interfaces,resource catalogue standards,and self-access control and privilege management models to provide support for government data sharing.[Result/Conclusion]Compared with the traditional government data sharing models,the flexible privilege management and unified standards of the model could not only better protect data security and prevent information barriers caused by conflicts of interest,but also greatly reduce the cost of shared funds,manpower and time.

[Purpose/Significance]Exploring the impact mechanism of smart city policy pilots on e-government development will help promote e-government toward smarter.[Method/Process]This study uses event history analysis to collect data of 244 prefecture-level cities from 2011 to 2016,and constructs static and dynamic panel models to examine the impact of smart city policy pilot on e-government development.[Result/Conclusion]The research results show that the smart city pilot has short-term positive effects and long-term negative effects on local e-government development;In addition,the level of e-government development in the previous year has a significant positive impact on the development performance of the current period;The peer effect has a significant and sustained positive effect on the development of local e-government;However,the impact of public factors on the development of e-government is not significant.Therefore,local governments should grasp the opportunity of smart city construction,based on the state of urban development,stimulate the development potential of e-government from the aspects of policy combination,target selection and experience learning to enhance the ability of innovation governance.

[Purpose/Significance]At present,the academic conception of network public opinion lacks normative,unified and clear definition.The analysis of relevant concepts and their relationships in this field is conducive to the development of follow-up research.[Methods/Processes]Based on in-depth investigation and comparison of existing literatures,starting from the research objects and concept distributions involved in the network public opinion field,focusing on the comparison and analysis of the research objects,term expressions and their relationship of network public opinion,and in the comprehensive current research environment,the definition of the network public opinion was broadly defined,and the development enlightenment of the network public opinion research in the field of library and information was analyzed.[Results/Conclusions]It is intended to help clarify the boundaries and scope of online public opinion in different disciplines or fields.

[Purpose/Significance]With the rapid development of e-commerce and express logistics industry,it is of great significance to study the privacy protection of personal information in express logistics industry.[Method/Process]Firstly,this paper constructed the evolutionary game model between the express user group and the express enterprise group two groups.Secondly,we established the corresponding replication dynamic equation to discuss the evolution game process,the equilibrium point and the stability of the evolution parameters of the personal information privacy protection of the express logistics industry.Lastly,we used Matlab software to simulate the evolution stable point.[Results/Conclusion]The strategy selection between the express logistics industry and express logistics users was influenced by many factors,among which the risk cost,the extra income and the protection information cost of the express enterprise would affect the evolution direction and stability of the system.Finally,we put forward some suggestions on personal information privacy protection of express logistics.

[Purpose/Significance]Through sorting out and analyzing the existing research results of personal information protection in the era of big data,the basic theory and protection path of personal information protection still have room for discussion.[Method/Process]Starting from the theoretical dilemma,this paper mainly analysed the conceptual boundaries of personal information and data,privacy and the legal attributes of personal information;starting from the path of protection,it mainly analysed the legislation of personal information protection,personal information protection technology,administrative supervision,industry self-discipline and self-protection consciousness.[Result/Conclusion]On the theoretical level,the concept of personal information should be grasped from closed "identifiability" to open "injury risk".The legal attribute of personal information should be understood from single privatization to compound.At the level of protection path,the legislative trend of personal information protection should change from "fragmentation" to "systematization", "macro-thinking" to "micro-thinking".The technical focus of personal information protection should be based on the concrete development of "funds,means and norms".The administrative supervision of personal information protection should change the "government participation" mode.The concept of industry self-discipline in information protection should be realized from principle guidance to concrete practice,and the awareness of personal information self-protection should broaden the cognitive horizon of "ex ante protection" and "ex post protection".

[Purpose/Significance]The development of the government affairs micro blog and new media is a hotspot issues.A periodical summarization about the relevant researches can contribute to understanding the future research directions of government affairs micro blog,which promotes the efficiency of government affairs new media while adapting to the changing circumstance of public opinion and communication means.[Method/Process]This paper used CiteSpace software and conducted a bibliometric analysis to depict the scientific knowledge map of researches about government affairs micro blog.Combining with a deep understanding of relevant literature,this paper concluded the main contents of relevant researches.[Results/Conclusion]The results showed that researches about government affairs micro blog had an obvious evolution chain from government affairs micro blog to government affairs wechat and new media chronologically.The connotation and contents of government affairs micro blog researches expanded and varied,as well as the research methods.The following researches should concentrate on the construction of institutional culture and functions of government affairs micro blog.Meanwhile,how to develop the new media matrix and policy system also deserves more attention.

[Purpose/Meaning]Cloud services play an important role in economic construction,management decision-making and social development.In order to clarify the current research trends and existing problems of cloud services research at home and abroad,the analysis of cloud service research at home and abroad is carried out.[Methods/Processes]Firstly,the paper analyzed the trends,evolution paths and high-frequency keyword networks of cloud service research at home and abroad.Secondly,it analyzed the theory and application of cloud services at home and abroad,and the theory and application of cloud services at home and abroad.The study conducted a comparative analysis to summarize the existing problems.[Results/Conclusions]At present,the theory and application of cloud service research at home and abroad had both crossovers and their respective focuses.The future development trend of cloud services would be more significant.