[Purpose/Significance］The evolution of network public opinions is similar to the development characteristics of natural ecosystems,which satisfies the Logistic model.Based on the symbiosis theory,this paper studies the interaction among netizens involved in the whole process of network public opinion evolution,which could provide reference for the in-depth study of network public opinion elements and the adjustment of public opinion crisis management mode;[Method/Process］This paper,with the participation of network public opinion netizens as the core,summarized the evolution mechanism and symbiosis characteristics of the network public opinion,and constructed the symbiosis theory model of the online public opinion ecosystem based on the extended Logistic equation and ran a simulation experiment;[Result/Conclusion］This paper verified the rationality of the two-dimensional symbiosis model of the network public opinion ecosystem through two examples of in weibo,which were reasonable and unreasonable in control,and summarized the symbiosis evolution model and its causes among the internal units of netizens participating in different evolution stages and control conditions.

[Purpose/Significance］By exploring the characteristics and shortcomings of the COVID-19 response policies,it can provide reference for the formulation of public health emergency response policies and system optimization.[Method/Process］Taking the 329 COVID-19 response policies texts issued by the central government from January to August 2020 as the research object,a three-dimensional analysis framework was constructed.Using social network analysis methods,content analysis methods and PMC index model,the paper respectively explored the characteristics of policy-makers cooperation network,content and implementation effectiveness of the COVID-19 response policies.[Result/Conclusion］The study found that in the dimension of policy-makers,united issue of policies became the main form.In the dimension of policy instruments,the proportion of three kinds of policy instruments should be coordinated and balanced.In the dimension of policy effectiveness,the overall performance was good,but some of the policies that were evaluated had short timeliness and low stability,and their foresight needed to be strengthened urgently.Based on this,suggestions for optimizing public health emergency response policies were put forward.

[Purpose/Significance］This paper introduces metaphor maps to improve the defects of previous visualization tools in the unified representation of the topic structure and evolution relationship of emergency needs,and reduce the cognitive burden caused by separate representations on users.[Method/Process］Firstly,we designed a metaphorical map to represent the topic of emergency needs in social media.Then,we provided a series of interactive functions on this basis to facilitate exploratory analysis and holistic cognition of information.[Results/Conclusion］Visual representations based on metaphor maps can strengthen the overall representation of the structure and evolution of the demand theme,and reduce the mental burden on users' cognition.This research proposed a visualization method of emergency demand theme based on metaphor map,which provided a reference for emergency resource coordination.

[Purpose/Significance］In the era of scene,the value proposition,the main body of value creation and the process of value creation of the social Q&A platform are changing.How to integrate the scene elements into the social Q&A platform and realize the innovation of the service mode become the key to its development,which is also the direction of the future innovation of the service mode of the social Q&A platform.[Method/Process］Therefore,from the perspective of technological innovation and management innovation,the social question answering platform aimed at the integration of service efficiency and service value.With the help of scenario elements,it realized the configuration of different dimension scenarios based on user information expectation,that is,it realized the service mode innovation of social question answering[JP] platform through the diversification and personalized configuration of scenarios.[Result/Conclusion］The results showed that the essence of contextual configuration of social Q&A platform was to effectively realize the configuration of different dimensions of situations based on users' double expectations of the efficiency of social Q&A platform products and service utility.This is an innovative way for social Q&A platform to transform from the efficiency of product functions and the utility of service management to the experiential type of scene adaptation.

[Purpose/Significance］Continuance intention is a direct reflection of user satisfaction and loyalty,so exploring and portraying the formation mechanism of Short Video Users' Continuance Intention in the Pseudo-Companionship Situation plays an important role in the healthy development of the industry.[Method/Process］Based on two dimensions of pseudo-relationship and platform content,the paper proposed research hypotheses and constructed theoretical models by integrating information system success models and attachment theory.Taking the short video APP vibrato user as the research sample,and using the "situation experiment+questionnaire interview" to obtain the data.336 valid data were obtained, tested by SmartPLS2.0.[Results/Conclusions］Pseudo-relationship commitment and platform emotional attachment positively influenced the willingness of continuance usage,at the same time,the pseudo-relationship commitment was positively affected by the social usefulness and pseudo-relationship needs,and the platform's emotional attachment was positively affected by functional usefulness and content quality requirements.In the gender adjustment section,compared with the male,the platform emotional attachment of female had a more significant impact on the continuance willingness,and the fitness of content had a greater impact on the satisfaction of content quality requirements.Therefore,for the governance of the short video industry in the future,we should pay attention to the differences in the use of short video apps by different groups,guide users to use them reasonably,and strengthen short video supervision to prevent young people from indulging in it.

[Purpose/Significance］As an emerging mode of knowledge dissemination,knowledge payment has been developing rapidly.However,it is also facing the dilemma of further development.So,it is necessary to explore the influencing factors of users' paying willingness.[Method/Process］According to the knowledge payment context and ELM,a model of users' knowledge paying willingness was constructed considering mental inertia.Furthermore,this paper explored the differences of information processing strategies among different regulated focus individuals.Then SEM was used to analyze questionnaire data.[Result/Conclusion］The results showed that both central and peripheral route were significant routes that influenced users' intention in using knowledge payment,and central route was more important than peripheral route.Free mentality had a negative moderating effect on perceived value to payment willingness.Prevention focus had a positive moderating effect on the relationship between content quality and perceived value.The findings of this study provided a new perspective for the study of users paying willingness of knowledge payment,yet we focused on ELM in knowledge payment context.And the study explored the role of mental inertia and regulatory focus.The findings also provided practical implications for knowledge platform and sellers to obtain users and more sales.

[Purpose/Significance］Aiming at the social hot spot phenomenon of the elderly sharing all kinds of information on WeChat,this study explored the influencing factors of the elderly sharing WeChat information based on the social exchange theory and the use and satisfaction theory,and provided reference for information service providers to optimize the design and content of information service.[Methods/Process］A conceptual model for the elderly people's WeChat information sharing behavior was constructed,along with the benefits of information search,entertainment needs,self-expression,social support and altruistic needs satisfaction,and the costs of cognitive and executional costs.After that,227 valid questionnaires were collected and AMOS software was used to analyze the data with structural equation modeling.[Results/Conclusion］Information search,self-expression and altruistic needs satisfaction positively affected WeChat information sharing behavior in the elderly,among which the altruistic needs had the most significant influence.At the same time,executional costs negatively affected the WeChat information sharing behavior of the elderly.Finally,according to the research results,some countermeasures and suggestions were provided for the optimization of WeChat information service.

[Purpose/Significance］Exploring the emotional expression characteristics of online health community users plays an important part in innovating the service level of online health community platforms,and improving the public opinion management level of public opinion supervision departments.[Method/Process］The article took the COVID-19 as the situation.First of all,the sentiment dictionary was used to analyze the emotion of online health community users' posts and replies.Then,the social network analysis was used to analyze the high-impact users,highly active users and key intermediary users.Finally,analysis of variance was used to analyze the emotional type characteristics of key users in online health community,correlation analysis was used to analyze the emotional intensity of key users in online health community.[Result/Conclusion］In the face of the COVID-19,online health community users mainly expressed two emotions:good and evil. "Anger" had the highest average influence and average betweeness centrality.There was a high correlation between influence and centrality.There was a positive correlation between activity and emotional intensity.Therefore,relevant departments need to promptly disseminate users' negative emotions,appease users with intense emotional expressions,and effectively control the spread of public opinion.

[Purpose/Significance］This paper makes an exploratory study on the competitive intelligence activities in technological innovation,trying to find out the use mode,function and influencing factors of competitive intelligence in technological innovation.[Method/Process］Through literature review,eight research questions were drawn out,and the corresponding interview outline and questionnaire were designed.Field interview and questionnaire survey were carried out on 43 high-tech enterprises in Jiaxing City,and descriptive statistical analysis was carried out on the returned questionnaires.[Result/Conclusion］In technological innovation,competitive intelligence had two main functions:improving products and improving market.Different types of competitive intelligence had different effects on technological innovation.Personal factors were the main factors that restricted competitive intelligence activities in technological innovation.In technological innovation,enterprises mainly use direct way to collect competitors' intelligence,and pay more attention to the current status of competitors.

[Purpose/Significance］It is the basis and prerequisite for planning industrial innovation supply by understanding innovation demands deeply from its content orientation and evolution mode.[Method/Process］Under the two-dimensional perspective of innovation chain and time sequence,this study constructs a framework of mining industrial S&T innovation demands by text mining.[Result/Conclusion］An empirical study on national defense S&T industry was conducted and several conclusions were drawn from the study.Firstly,innovation demands in national defense S&T industry were classified into 4 types mainly:electromagnetics and component systems,soft science,intelligent equipment systems,new materials.Demands in electromagnetics and component systems belonged to research-dominant and synchronous innovation model.Demands in soft science belonged to research-dominant and feedback model.Demands both in intelligent equipment systems,new materials belonged to application-dominant and synchronous innovation model.Finally,innovation supply strategies were suggested for national defense S&T industry.

[Purpose/Significance］This research,to a certain extent,could reduce the time cost and subjectivity of patent examiners and improve their professional quality.It would also provide reference for patent applicants' patent layout.[Method/Process］This research defined the meaning of patent quality and constructed a patent quality indicator system.It proposed a combination model based on machine learning for the analysis and classification prediction of patent quality,and took blockchain patents in emerging industries as an example to conduct the research.The model was composed of three methods:self-organizing map,kernel principal component analysis and support vector machine.Its realization process included two stages.At first stage,self-organizing map(SOM)was employed to analyze the collected 21496 blockchain patent data from the patent database of the State Intellectual Property Office and define the patent quality category;at second stage,dimension reduction and noise reduction processing on patent data were performed through kernel principal component analysis(KPCA),the processed patent data was then classified by the support vector machine(SVM).[Result/Conclusion］After training the blockchain patent quality classification model,historical data of 3306 blockchain patents was used to verify the performance of the training model and the matching degree of the experimental results reached 87.26%.Therefore,the combined model proposed in this research can effectively classify and predict patent quality.

[Purpose/Significance］Based on the localized marketing information posted by official accounts of global high-end brands in social media,this study examines the influence of localized marketing information on platform users' interaction.[Method/Process］Using VBA web crawler data of 30 global high-end brands between 2010 and January 2020 in Weibo,this study brought in the uniqueness of the global high-end brands and explored the effects of three types of localized marketing information posted by official accounts of the brands on platform users' interactions.[Result/Conclusion］The results showed that the larger the of localized celebrities and entertainment information posted by global high-end brands was,the more interactions of platform users would be.However,the larger the share of localized product information was,the fewer interactions of platform users would be,because the social identity of global high-end brands would be challenged.This study provides empirical evidence for global high-end brands on how to use different types of localized marketing information to increase platform users' interactions and stickiness.

[Purpose/Significance］In this paper,the implied meaning of information needs and services is revealed,the information needs of investment institution and the information content and service forms serving investment institution are analyzed by carrying out a case study of the information service specifically offered to investment institution,which is expected to provide certain reference for the theoretical research and practice of Information Studies.[Method/Process］This paper started with the investment and financing activities for key technologies or projects engaged by Investment Institution A,a practitioner specialized in smart home sector,in order to look into the service needs,content and means.[Result/Conclusion］The main parts of information services and the way of identifying information services were summarized and observed according to the major needs of information sector in investment institution,so that the information services rendered by investment institution would be strongly relevant,comprehensive and referential,which in turn would be recognized by its users.

[Purpose/Significance］The opening government data is an important strategic action to build a transparent government in the new era,clarifying the stakeholders and managing them scientifically will facilitate the smooth implementation of the opening government data.[Method/Process］Using Freeman's stakeholder theory to define,classify and manage stakeholders in government data opening.[Result/Conclusion］The study defined 11 stakeholders of government data opening and divided them into four categories:leader-type,benefit-type,sup-port type and marginal type,and then put forward the management strategies of government data opening stakeholders:classifying management;establishing the service concept;forecasting interest demand;establishing communication mechanism;conducting voluntary consultations;integrating "marginal stakeholders";opening data with consideration of stakeholders' interest.By definition,classification and management of stakeholders,the complex interest relationships in the process of government data opening can be clarified,the benefit resources can be effectively integrated,and the efficiency of data opening can be released.

[Purpose/Significance］In the era of big data,data value mining and utilization put forward new requirements for the depth and breadth of data sharing and opening.The acceleration of data sharing and opening makes it enter a new stage of data application and service which leads to a new form of personal privacy data leakage.The balance between data open sharing and personal privacy protection has become a problem that must be solved to play the value of big data.[Method/Process］This paper summarized the research status,main problems and development trend of domestic and foreign scholars in the field of data open sharing and privacy protection in recent years by using the literature research method and innovatively summarized the privacy leakage from different subjects and different data forms and then put forward more operable protection countermeasures.[Result/Conclusion］According to the different forms of data in the process of data sharing,opening,application and service,this paper put forward a strategy based on the combination of "hierarchical data" and "algorithm accountability" from the aspects of technical practice and management mechanism.It provided a new path to balance the open data sharing and privacy protection.

[Purpose/Significance］When the current method is used to analyze the evolution characteristics of network public opinion crisis,the causal relationship between the influencing factors of the evolution characteristics in the process of network public opinion dissemination can not be clarified,which leads to the low grey correlation degree,small error probability and large mean square deviation ratio of the analysis results.Therefore,the evolution characteristics of network public opinion crisis and the innovation method of early warning scheme are studied,and the system dynamics is used to analyze the network public opinion crisis the evolution variables and influencing factors are simulated and modeled to obtain the main influencing factors of the evolution of network public opinion crisis.Combined with the causal relationship between the popularity of network public opinion and various factors,the network public opinion communication system is analyzed.[Method/Process］Combined with Verhulst model and grey theory model,the grey Verhulst prediction model is constructed.According to the causal relationship between the influencing factors,the evolution characteristics of network public opinion crisis are analyzed.According to the analysis results,the early warning scheme of information collection analysis mechanism,early warning mechanism,information release mechanism and guidance mechanism is proposed.[Result/Conclusion］The experimental results show that,when the proposed method is used to analyze the evolution characteristics of network public opinion crisis,the grey correlation degree is high,the small error probability is large,and the mean square deviation ratio is small.

[Purpose/Significance］The purpose of this study is to build academic early warning indicators based on pubpeer,a post publication peer review forum,and put forward an academic early warning index to warn the authors of academic risks.[Method/Process］The paper obtained research data,detected potential academic risks,built early warning indicators based on multiple dimensions and to conduct comprehensive consideration,to publish early warning index to show the risk degree of the author by Pubpeer.[Result/Conclusion］This study revealed the current situation of academic risk,showed the problems of potential academic risk authors in research,can effectively warn academic misconduct,promote a good academic atmosphere,and ensure the orderly and correct conduct of scientific research.

[Purpose/Significance］Under the circumstances that the global open access movement has developed rapidly,it is essential to better understand the open access status of China and the gap between Chinese and the world levels on this issue.[Method/Process］This study obtained the open access information of nearly 2.6 million China's international journal papers from 2010 to 2019 through the tool named Unpaywall,and then conducted a quantitative analysis of the open access status and citation counts of all these papers and papers funded by the National Natural Science Foundation of China(NSFC).Finally,we conducted comparative analyses of China and the world open access level as well as the open access situation of the papers funded by NSFC and three foreign funding agencies(i.e.,EPSRC,NSF and NIH).[Result/Conclusion］The findings were as follows:(1) the open access ratio of China's international journal papers showed an overall increasing trend during the study period,the average ratio was still significantly lower than that of the world average though.(2) the OA ratio of papers funded by NSFC was lower than that of overall China's international journal papers,and was also significantly lower than those of the papers funded by the three foreign funding agencies.