［Purpose/Significance］By analyzing and mining the network evaluation text of personal information protection policy,it can provide an important reference dimension for relevant government departments to understand the specific policy evaluation of personal information protection policy.［Method/Process］Based on the data of semi-structured interviews,online media communication and users' comments on social platforms,this paper used a combination of qualitative and quantitative research method,to build a netizen evaluation and calculation framework of personal information protection policies from multiple dimensions such as policy perfection,policy effect,policy publicity,government trust in the calculation framework.［Result/Conclusion］This paper innovatively puts forward core indicators as"matching degree of agenda setting","proportion of positive and negative aspects of policy dimensions"and network topic extraction model,and finally realizes the quantitative empirical calculation of six personal information protection policy evaluations.Based on the analysis of the experimental results,some suggestions are put forward to improve the public acceptance of personal information protection policy.

［Purpose/Significance］This paper proposes a method for network public opinion event recognition of sudden natural disasters based on syntactic features.［ Methods/Process］The training set was constructed through data collection and event semantic annotation,and then a syntactic feature extraction method for network public opinion event recognition of sudden natural disasters was proposed.The syntactic feature extraction method was used to extract the event syntax from the training set,construct the event syntax feature library,and represent the event text in the form of syntactic vector;Finally,the syntactic similarity between event syntax and the syntax to be tested was used to calculate and identify events.［ Results/Conclusion］Taking"typhoon lichima"as an example,through test set D₂.It is determined that the optimal similarity of"typhoon lichma"event recognition was 0.93.Under this similarity,from the test set D₂ 55 events and 82 non events were identified in test set D₂、D₃ the F1 values of the experimental results were 0.851 and 0.929 respectively.At the same time,the comparative experiment shows that the syntactic feature is better than the text feature in the case of small training set.It provides a new reference for the research of network public opinion of sudden natural disasters.

［Purpose/Significance］Knowledge innovation and knowledge foresight have become an important direction of national competition.This paper introduces complex network structure,link prediction and word vector training into the knowledge ecosystem,introduces new ideas and concepts for the knowledge ecosystem,and provides new ideas for knowledge foresight.［Method/Process］On the basis of literature measurement and text mining,keyword selection and clustering of relevant literature were carried out in various ways,and the clustering nodes were used to construct the network structure of knowledge ecosystem.The network structure of knowledge ecosystem was adjusted by word vector training,and knowledge prediction was realized by link prediction method.［Results/Conclusion］The knowledge ecosystem is predicted by introducing the complex network structure into the knowledge ecosystem.The possible intersection between different knowledge communities in the system has a significant effect on the prediction of new knowledge,and can be used as a method of disruptive technology prediction.

［Purpose/Significance］The state attaches importance to the quality of scientific and technological achievements,which reflects the academic value and contribution of scientific and technological achievements.Scientific papers are one of the important carriers of scientific and technological achievements.Identifying citation objects and citation functions of scientific papers based on text semantic analysis plays an important role in the evaluation of academic contribution and value of scientific papers.［Method/Process］Using text data mining technology,this paper proposed a joint automatic recognition method model of citation object and citation function of scientific papers based on Bert-BiGRU-CRF.Firstly,the full text of scientific papers was obtained from HowNet database,and the citation content of scientific papers was obtained by regular matching citation markers;Secondly,using the existing research to determine the citation object and citation function annotation method of scientific papers,the manual annotation of citation content of scientific papers could be realized;Then,based on the pre training language model Bert,combined with BiGRU and CRF,the sequence annotation model of citation content of scientific papers was constructed to realize the joint automatic recognition of citation objects and citation functions of scientific papers,and the recognition results were expressed by triples;Finally,the experiment was carried out with the text data of scientific and technological papers in five high-quality journals in the field of graphics and information in the first half of 2021.［Results/Conclusion］The experimental results show that the F₁ values of the method model proposed in this paper are 71.78%,68.33% and 64.23% respectively,which are better than the comparison model,and preliminarily verify the effectiveness of this model for the automatic recognition of citation objects and citation functions of scientific and technological papers.

［Purpose/Significance］Based on the historical data of social network users,this paper explores the internal correlation between users' personality traits and their self-disclosure level,which can provide reference for social network platforms to formulate differentiated operation strategies and improve users' self-disclosure level,so as to promote the healthy and rapid development of social network platforms.［Method/Process］Sina Weibo was selected as the representative of social network platform,and historical data of users were captured by web crawler technology,and their self-disclosure level was calculated;Based on LIWC psychological dictionary,the mapping relationship between LIWC feature words and five personality traits was constructed,and the personality traits of users were calculated according to their weibo posts;Combined with the above two results,the relationship between users' personality traits and their self-disclosure level was explored.［Result/Conclusion］Social network users' self-disclosure level is correlated with their personality traits.Extroversion and openness are positively correlated with the overall level of users' self-disclosure.Conscientiousness and neuroticism were negatively correlated with the overall level of users' self-disclosure,but neuroticism was positively correlated with the proportion of public microblog.The personality trait of agreeableness is negatively correlated with the proportion of users' microblog Posting,but not with the overall level of users' self-disclosure.

［Purpose/Significance］The purpose of this study is to explore the influencing factors and mechanism of users' intention to adopt consultation records in online medical platform.［Method/Process］Firstly,the study reviewed the related research in the field of online medical platform information adoption.Secondly,the key factors that affect the user's adoption intention of medical consultation information were extracted by grounded theory.Based on the information adoption model and information ecology theory,the theoretical model was constructed with coding results.Finally,the path analysis and hypothesis testing were conducted on the model with the data from questionnaires.［Result/Conclusion］According to the results,Information adoption intention is positively associated with perceived ease of use,doctors' professionalism,service attitude,information content quality and information expression quality.This effect is exerted through perceived usefulness.Moreover,health literacy strengthens the relationship between information content quality and information adoption intention but negatively moderates doctors' professionalism on perceived usefulness.

［Purpose/Significance］Based on exploring the principle of users' continuous use behavior,this paper excavates the status and influencing factors of vlog users' continuous use behavior.On the one hand,it helps vlog industry practitioners expand the scale of users,strengthen user stickiness and increase the symbiosis of user information;On the other hand,analyze the characteristics of high-quality vlog to help the platform provide better measurement indicators for bloggers.［Methods/Process］Based on ecm-isc and S-O-R paradigm,a conceptual model of vlog users' continuous use behavior was constructed.Combined with HMM model method,the differences of different influencing factors on vlog in different situations were explored.［Results/Conclusion］users' attention to information and satisfaction with video will directly affect their vlog use decision.Users' perception of the overall effect of the video will directly affect the judgment of users' continuous use behavior.Due to the differences of different video types,the emotional identity and immersion experience of different users are significantly different.

［Purpose/Significance］Clarifying the influencing factors of discontinuous use intention of short video platform users is of great significance for operators to optimize services,attract users to continue to participate,and increase user retention rates.［Method/Process］Based on the PPM(Push-Pull-Mooring)theoretical framework,combined with social influence theory and attachment theory,a short video platform users' discontinuous use intention influence model was constructed.Taking the TikTok as an example,the study collected user questionnaire data for empirical analysis.［Result/Conclusion］The result of the study shows the pushing factor of using fatigue,the pulling factor of peer influence and the mooring factor of media attachment comprehensively affect the non-continuous use intention of short video users;Media attachment plays a partial mediating role between use fatigue and discontinuous use intention;user involvement plays a positive moderating role in the influence of peer influence on discontinuous use intention.This research expands the research context and reason composition of discontinuous use intention,hoping to provide references for short video operators to gain insight into the causes of users' discontinuous use intention,improve services,and attract users to continue to use it.

［Purpose/Significance］Divides the competitive intelligence process into three links:competitive intelligence acquisition,diffusion and use,and tries to find out whether there is a relationship between the three links and technological innovation performance,whether the three links affect each other,and whether the quality of competitive intelligence affects the above relationship,so as to provide practical guidance for competitive intelligence activities facing technological innovation.［Method/Process］A questionnaire survey was conducted on 148 high-tech enterprises in Zhejiang Province.The main effects of competitive intelligence acquisition,diffusion and use on technological innovation performance were tested by multiple regression analysis,and the interaction effects between competitive intelligence acquisition,diffusion and use were tested by hierarchical regression analysis.According to the quality of competitive intelligence,the data are divided into two groups for hierarchical regression.［Result/Conclusion］(1)There is a significant relationship between competitive intelligence acquisition,competitive intelligence use and technological innovation performance,and there is no significant relationship between competitive intelligence diffusion and technological innovation performance;(2)there is an interactive effect between competitive intelligence acquisition and competitive intelligence diffusion;(3)there is no interactive effect between competitive intelligence diffusion and competitive intelligence use;(4)competitive intelligence acquisition and use have interactive effects;(5)competitive intelligence quality plays an obvious moderating role between the three links and technological innovation performance.

［Purpose/Significance］Identifying future competitors of an enterprise is very important for the current decision-making of an enterprise.Once a potential competitor turns into a direct competitor,it will often bring a huge impact to the enterprise,and even endanger the market position of the enterprise.In order to identify potential competitors as early as possible,this research proposes a method for identifying potential competitors based on weak signals,in order to provide methodological support for companies to identify potential competitors.［Method/Process］Patent data were used as the information source to construct a three-stage method for identifying potential competitors:In the first stage,the text was classified by subject through the LDA model;in the second stage,a weak function was used to filter the subject to obtain a weak signal subject;in the third stage,weak signal topics were classified,the average semantic quantity was used to measure the technological competitiveness of enterprises,and potential competitors were identified in combination with the growth rate of enterprises.［Result/Conclusion］This study validates the method with TSMC as the focal enterprise,identifies Samsung as a potential competitor in the foundry market,and illustrates the effectiveness of the method.This method introduces weak signals into the field of potential competitor identification,which not only enriches and perfects the theory of competitors,but also expands the application of weak signals in new fields.

［Purpose/Significance］In order to clarify the security risks in China's government data openness,this article analyzes the security risks and causes of the risks of 172 local government data open platforms that have been launched in China.［Methods/Processes］Analyze the types of security risks and related typical events of the government data open platform,explore the causes of security risks,and explore risk prevention countermeasures.［Results/Conclusions］The study found that as governments at all levels explored from"open government information"to"open government data",both explicit security risks and implicit security risks followed.Various factors have exacerbated the external risks of government data openness,including attacks by hostile forces at home and abroad,the development of the dark data industry chains,and the explosive growth of data sets.Meanwhile,internal risks are caused by the deliberate actions of mole people colluding with external personnel,and misoperations and inactions caused by the negligence or inadequacy of internal participants.To effectively prevent the security risks in China's government data openness,following measures should be taken,including strengthening the management of data classification and classification,providing supplementary measures to allow the public to have access to data opening,strengthening the construction of data security standards,and establishing a data security assessment and feedback adjustment mechanism.

［Purpose/Significance］To explore the user's privacy disclosure behavior and its influencing factors in the Internet environment,and provide theoretical basis and reference opinions for the development and supervision of the Internet industry.Based on the fine processing possibility model and the adjustment orientation theory.［Method/Process］The behavior model of Internet user privacy disclosure was constructed from the central route and peripheral route,and the adjustment effect of the adjustment orientation was explored.Using the comprehensive social survey data(CGSS),the theoretical hypothesis was analyzed and verified by the ologit regression model.［Results/Conclusions］The study found that privacy disclosure has a negative impact on privacy disclosure behavior in the central route:information benefits from privacy benefits,online social benefits,and privacy disclosures in privacy risks.Peripheral route:privacy control,privacy concerns have a negative impact on privacy disclosure behavior.Adjusting directional variables not only affects the behavior of privacy disclosure,but also has a significant adjustment effect on central and peripheral route variables,even change the original direction of influence.

［Purpose/Significance］The"Five Metrics"is the outcome of the metrology of China's scientific progress and social development.Revealing the architecture and ideological connotation of the theoretical integration and development of the"Five Metrics"is not only conducive to a deep understanding and systematic grasp of the integration and development of the"Five Metrics"and metrology,but also provides a foundation and direction for promoting the development of metrology in the era of big data.［Method/Process］Using the Grounded Theory analysis method,qualitative research was carried out on the journal papers related to the"Five Metrics"research in CNKI database.Through the open coding,spindle coding and selective coding of the research conclusions of the original literature,the story line of the theoretical integration and development of the"Five Metrics"was formed,and the corresponding microstructure model was constructed.［Results/Conclusion］The integration and development of the theory of"Five Metrics"can be divided into two main categories and nine sub-categories.Main category 1:Research on the fusion and relationship of"Five Metrics",including five sub- categories of concept fusion,application fusion,author fusion,method fusion and system construction and relationship research;Main category 2:Discipline construction and development of"Five Metrics",including four sub-categories:Expansion of research objects,expansion of research content,current situation/trend of discipline development and future development path,discipline construction and its influence on other disciplines.Finally,on the basis of analyzing the connotation of sub-category thought one by one,the influence of this research on the development of the next branch of metrology"data metrology"is analyzed.

［Purpose/Significance］The study reveals the characteristics of China Altmetrics Data Source News Platforms,in order to deepen the knowledge of news platform regarding their altmetrics data,and provide reference for setting up Chinese Altmetrics indicators system.［Method/Process］On the basis of 34460 Chinese news altmetrics data records,which is derived from Altmetric Explorer database,the research categorized Chinese news platforms reporting academic achievements into multiple dimensions,and further showcased the characteristics of their mention on academic achievements by means of statistical analysis and case analysis.［Result/Conclusion］(1)Fifteen sub-categories of altmetrics data source news platforms were identified according to the extrinsic and intrinsic characteristics,and it was found that emerging online platforms(68%)and official news platforms(46%)dominated.The establishment of a special science and technology section(59%)was mainstream,and the vast majority(79%)were general news platforms,with comprehensive news platforms dominating(79%),and all of them had both original news and reprinted news as news content sources;(2)These news platforms mainly used scholarly outputs as the source of the latest progress in scientific research,as the support of news content and as the object of news coverage.The news language presented the characteristics of professional,interest and popularity;(3)News authors were not only science journalists,science editors and scientific researchers,but also more online science and technology professionals,science enthusiasts and popular science writers.And news content on our news platforms focused on disseminating scientific knowledge,reporting on scientists(and their research),interpreting scientific hotspots and science and society.

［Purpose/Significance］Co-authorship is one type of scientific research cooperation and has become common practice in various disciplines.Scholars form their own academic circles and unique scientific cooperation communities through scientific research cooperation,a large number of related research papers have emerged in recent years.［Methodology/Process］Through analyzing the 1020 papers about domestic scientific research cooperation,seven hotspots were summarized by analyzing the title and abstract of each research paper on scientific research cooperation.［Result/Conclusion］The seven hotspots cover the origin and development of scientific research cooperation,the behavior patterns of scientific research cooperation,the motivation of scientific research cooperation and its influencing factors,the types of scientific research cooperation network,the measurement of scientific research cooperation network,scientific research cooperation network structure and its evolution analysis,the application research of scientific researc cooperation network.At the same time,the research progress and development trends of the seven research topics were summarized and reviewed.This paper is to provide a general picture of domestic scientific research cooperation for more scholars and further provide a general review on research progress and development trends of international research cooperation.

［Purpose/Significance］This study aims to summarize the status of foreign studies on gamification citizen science,and provide the reference for Chinese research.［Method/Process］According to the steps of literature review,by analyzing the content of the research topics,organizing the citizen science in game design strategies,the game design model and the incentive mechanism,extracting four dimensions from the 58 different elements in the practical application,exploring the framework of motivation and behavior results.［Result/Conclusion］On the whole,foreign studies on gamification citizen science has abundant theories and extensive applications.But there are still blind areas and problems needed to be further explore,on the basis of existing research,we put forward the possible future trends from the perspective of theory,practice and method of perspective,to better understand the various issues involved in the gamification citizen science,to provide insights for citizen science researchers,system designers,policymakers.