The paper studied the features and efficiency of information dissemination of micro-blog and WeChat platforms of universities.Starting with information services of micro-blog and WeChat platforms of 985 Universities,the paper constructed the efficiency index system of social network information dissemination based on three dimensions including time,content and behavior.Then,the paper compared and analyzed the similarities and differences of dissemination features and efficiency between the two platforms.Besides,the article further divided the subjects into thirteen categories such as school information,campus activity,ideological propaganda,entertainment,leisure and interactive communication.Meanwhile,the paper explored and analyzed the relation between the subjects and information dissemination effects.The research result showed that there were differences in the time distribution of delivery between the two platforms.In terms of dissemination features,the number of articles and followers of micro-blog were higher than WeChat,but the dissemination efficiency of WeChat was better than micro-blog.In addition,subjects in these two platforms were complementary,there were significant differences in the information dissemination effect between different subjects.

The current research on public digital culture service system and its key elements is rare.This paper focused on the construction of public digital culture service system and provided theoretical reference for public digital culture service practice. This paper introduced the synergetics theory and analyzed its applicability to public digital culture service.The conceptual model of public digital culture service system was put forward and verified by survey data.The paper discussed the key elements,such as the information subject,the information environment and the information content and their interactions could form a public digital culture service system.As the main body,the information subject not only directly affected the service content,but also through information environment affected the service content.The research indicated that in the public digital culture service,the interactions of social subject,the environment,service content could be better to layout public digital cultural service system.

[Purpose/Signficance]The voting mechanism of social Q&A community is helpful for information consumers to select high quality answers.This paper focused on the original knowledge sharing of users in social Q&A community,and explored the factors that influence the user perceived usefulness of knowledge sharing.[Method/Process]Based on the information adoption model and 71495 answers in social Q&A community,combining text analysis and negative binomial regression analysis,this paper discussed the influencing factors of knowledge sharing usefulness from three aspects of answer characteristics,answer quality and respondent characteristics.[Result/Conclusion]The results showed that the answer characteristics(timeliness,pictures or citations),answer quality(answer centrality,emotional support),respondent characteristics(social network centrality,credibility)had a positive impact on answer useful votes.However,the linguistic diversity of answers had a negative effect on answer useful votes.And this research promoted the sharers to contribute high quality knowledge sharing and provides feasible suggestions for high quality information service in social Q&A community.

Exploring the motives of personal information avoidance cannot only provide some theoretical support for the social deep understanding of personal information avoidance behavior,but also provide some reference for optimizing the behavior of personal information avoidance in Internet+environment.By using NVivo 11 software,the paper analyzed the relevant literatures in the web of Science^TM core collection database,and combined the theory of risk and utility to study the traceability of personal information avoidance behavior.It found that negative emotions were the most important factors of personal information avoidance behavior.Cognitive dissonance,behavior cost and loss aversion were the main motivating factors.Optimism maintenance was the secondary motive factor.Information fatigue and information subjective norms were the general motivational factor.And it drew the corresponding inspiration of personal information avoidance behavior.

How to ensure the microblog spreading capacity becomes one of the problems that each organization must face after entering into microblog platform.Therefore,it is significant to analyse specific performance and influencing factors of microblog spreading capacity.This paper quantified the microblog spreading capacity based on the entropy method,and established a index set of influencing factors of microblog spreading capacity from the two aspects:the microblog content features and user features.Also,this paper took the tourism organization as the research object to conduct the empirical analysis and uses Elastic Net to verify the index's effect.Through the verification,it obtained the influencing factors of the microblog spreading capacity of tourism organizations.Finally,this paper provided not only a theoretical reference for the quantification of microblog spreading capacity and the analysis of its' influencing factors,but also some practical reference for the microblog operation of the tourism organizations.

[Purpose/Significance]As a knowledge interaction platforms of network users,promoting the knowledge sharing level of users and enhance the quality of sharing knowledge of social Q&A communities are related to the continuous development of communities.[Method/Process]The value or level of social Q&A community knowledge could be subdivided into the quality and quantity of knowledge,so the community users' knowledge gains could also be divided into qualitative gains and quantitative gains when they participate in community knowledge sharing actively or passively,then the evolutionary game model of social Q&A community knowledge sharing was constructed based on the definition of community users' sharing behaviors and knowledge revenues,and three kinds of knowledge sharing equilibrium states in social Q&A community were analyzed under the different assumptions of evolutionary game.[Result/Conclusion]The different states of the knowledge quality and quantity of social Q&A communities and the knowledge sharing strategies of community users were affected by the game model parameters such as users' sharing willingness and ability,user acceptances and community incentive,perceived cost of knowledge sharing through the simulation.

[Purpose/Significance]The purpose of this study was to provide a theoretical basis and decision-making support for the government to effectively control network public opinion emergencies through the analysis of emotional tendency and public opinion tracking of network public opinion.[Method/Process]Taking "LuoYixiao" idcident as an example,tased on the establishment of adding specific event corpus emotion classification dictionary and constructed sentiment analysis model,calculated the text emotional intensity and emotion type of microblog,thus divided the network public opinion evolution stage.[Result/Conclusion]Revealed the characteristics and laws of the evolution of public opinion at all stages and suggestions were proposed to guide the evolution of emotion in network public opinion.

[Purpose/Significance]Social tagging system is also facing some inconvenience while facilitating the retrieval of users.Tag recommendation research can help solve the dilemma between the accuracy and the recall rate in resource retrieval.[Process/Method]With the theory and method of network science,the topic clusters were obtained through the modularity clustering on tag network,the degree centrality was used to rank the tags in the topic clusters,the numbers of the Top-N tags were selected according to a specific rule.[Results/Conclusions]The experimental results showed that the modularity Top-N tag recommendation method had the accuracy of level-by-level refinement and the good recall rate.The flexible mechanism of this method could provide differentiated services for different retrieval requirements.

Evaluate the discipline frontier of institution based on the frontier performance and attention,which could provide reference to clear the focus of institutional development,enact discipline development plan and science and technology development policies for scientific administrative department.First,the paper built the co-citation matrix of research fronts according to the co-citation relations of research fronts of Agricultural Science,and generated global knowledge map of research fronts by VOSviewer;Secondly,the performance and attention of research fronts were calculated respectively.Finally,it took the global knowledge map as a base map,and highlighted the relevant research fronts based on the performance and attention of research fronts.It revealed the knowledge structure and research distribution of the institutional discipline,and evaluated the academic influence of the institutions on the research level,which provided more effective support for the institutional development planning and science and technology policies.

The h2 index can quantitatively calculate the scale of the high-level scientific researchers owned by the institution,and evaluate the academic influence of the institution with a new angle.It has the advantages of simple,intuitive and visual,but there are some problems.[Method/Process]Based on the data analysis and empirical research,this paper analyzed the above problems of institutional h2 index.First,the cooperation in same institution greatly improved the h2 value.Second,different institutions had the same number of high-level scientific researchers,but the number of cited number and high-cited papers might be a large gap.In addition,the institutional h2 index excluded the author who had single high-cited paper but less papers and low h-index,ignoring the single high-cited papers and the authors contributing to the academic influence of institutions.[Result/Conclusion]The paper put forward the corresponding countermeasures in view of the above problems to correct the h2 index.And based on the new institutional h2_n index,the paper proposed a comprehensive evaluation index of the institutional academic influence.

[Purpose/Significance]In order to solve the problem of obtaining the index weight and collecting the evaluation information of the multi-attribute comprehensive evaluation in academic journals,this paper put forward a comprehensive evaluation model of journals based on the Different Principle and GRA-TOPSIS method.[Method/Process]First,used the different principle of deviation maximization method to reflect the overall differences among academic journals,in order to determine the weight of journal indicators.Then,used the TOPSIS and Gray Correlation analysis method to calculate the evaluation value of each academic journals.Finally,using the minimum bias squares combination method to calculate the final comprehensive evaluation value of the journal.[Result/Conclusion]Taking the journals of agricultural economy as the research object,the results showed that the method could fully reflect the overall situation of the journal from the data distance and geometry,and the method was a scientific and reasonable comprehensive evaluation of academic journals.

The performance evaluation of digital resources is more and more important under the limited funds of University libraries.This paper analyzed the digital resources of Harbin Institute of Technology library utilization evaluation index,31 full-text database and hit 2014-2016 from purchasing as an example,analyzed the construction of digital resources in dynamic performance,using the DEA-Malmquist model,14 subjects of telecommunications,chemical,physics,mathematics,computer,biology,environment,construction,transportation,civil engineering,management,humanities,aerospace,materials were analysised.Then,this paper put forward the strategy of digital resources construction of subject oriented.

[Objective]The rapid development of social media and social network has driven banks to embed different kinds of social stimuli in their websites to provide users with socialized services.Thus the factors that influencing users' acceptance of Internet banking in the era of social media may different from the traditional internet environment.This study focused on social media environment,explored the factors that may influence the users' intention to use Internet banking in social media era.[Methods]Used situational questionnaire to collect user data,used correlation analysis,multipled regression analysis and variance analysis to analyze the data.[Results/Conclusions]The results indicated that,in the era of social media,users' intention to use Internet banking was positively affected by perceived usefulness,perceived ease of use,website design,informational support,emotional support,subjective norm,specifically, subjective norm only had indirect impact on user's intention through perceived usefulness,whereas emotional support could only influence user's intention indirectly via website design.Both informational and emotional support positively affected website design.The results also suggested negative influence of perceived risk on user's intention to use Internet banking.

[Purpose/Significance]This paper explored the influencing factors of disclosure behaviour of mobile learning users in order to enhance the users' the ability to control private information by constructing a theoretical model of influencing factors of mobile learning users' privacy disclosure.[Method/Process]Through reading the document,this paper used the combination of questionnaires and empirical research methods,making a hypothesis testing with structural equation modeling from the aspects of attitude,subjective norm and behavior control.[Result/Conclusion]The research found that privacy disclosure intention had a positive impact on privacy disclosure behavior.Perceived benefit,society influenced,self-efficacy and perceived facilitation positively influence privacy disclosure intention,while perceived risk negatively influences privacy disclosure intention.It could help mobile learning platform operators to collect information and provide users more personalized service.[Limitations]The coverage of the subjects investigated in this paper was narrow,and the relationship between age,sex and other factors was not deeply analyzed.

In order to meet the new challenge of the network public opinion analysis technology in the big data era.It is necessary to study new models of public opinion deals from the perspective of big data,and to excavate the public opinion knowledge structure from the perspective of knowledge engineering.The paper used the latest research of knowledge technology and big data technology in public opinion field for reference,and designed a network public opinion analysis model based on knowledge technology and big data science.Then discussed the design and key technology of the model,finally verified the actual utility in the work of the public opinion based on the subject "the South China Sea issue" public opinion analysis.The results showed that the model could good for a particular theme public opinion in-depth analysis and mining.

[Purpose/Significance]Patent information is the fruit of the progress of science and technology.With the development of society,patent information will play an increasingly important role in promoting scientific and technological innovation.Through patent clustering analysis,it is possible to aggregate isolated information according to different aggregation degree,so that they can be transformed from ordinary information to valuable Patent Competitive intelligence.The traditional clustering methods have some efficiency and accuracy problems.[Method/Process]Based on cleaning and analysis access log data of the patent information service website (Intellectual property network of the Chinese Academy of Sciences),the sequence data of patent clicking were generated and input into the PatentFreq2Vec model based on word embedding to obtaine patent related information with the learning algorithm.[Result/Conclusion]This could cluster the patents and improve accuracy of the patent clustering.

In mobile environment,the network public opinion has a large impact on university students and staffs,especially the mobile communication systems are highly developed nowadays,almost everyone has a mobile phone that the impact of network public opinion is not to be ignored.By analyzing the related subject of network public opinion in universities under mobile environment,this paper constructed a kinetic model for the evolution of network public opinion in universities under mobile environment.Using Vensim PLE software,it then simulated and analyzed the model.The simulation results showed that improving the transparency of universities information,reducing the public opinion of Internet users concerned degree and media force could effectively enhance the efficiency of colleges and universities in responding to network public opinion under mobile environment.

[Purpose/Significance]The patent value evaluation tools have been widely used,but it is still controversial whether the evaluation conclusion is valid or not.[Methods/Process]This paper compared the evaluation value with the actual transaction price of the patent which has actually sold by a university in the last three years.The SPSS statistics was used to calculate relevance of the valuation and the actual transaction price,verify the effectiveness of Innography,IncoPat and PatSnap as patent valuation tools.[Result/Conclusion]Research showed that PatSnap had high reliability in the evaluation of patent value,the evaluation results could be used as a trading reference price for both reference.The patent strength of IncoPat evaluation had a high correlation with the natural logarithm value of the real transaction price,while the correlation between the patent strength of Innography evaluation and the real price was in general.The value assessment results of PatSnap could be used as reference prices for both buyers and sellers,and could also be used to assess the value of patents as intangible assets of colleges and universities.

[Purpose/Significance]The requirement of database retrieving and data processing reports is increasing year by year.Data quality problems easily occur by the use of automatic retrieving system,but it takes more time and energy to handle the reports manually in the traditional way.Then a new workflow is put forward,aiming at libraries to provide better database retrieving and data processing service and enhance its quality and efficiency.[Method/Process]The sequential processing of production and operation management was introduced into the workflow.Combined with batch processing the new workflow was set up.[Result/Conclusion]The workflow comprehensively utilized the software resource of library including Word,Excel and reference management software.It also took full advantage of strengths of the software.Batch retrieving,batch editing fields and quickly inserting citations could be realized.As a result,repetitive operations were greatly decreased and data accuracy can be guaranteed,which provided beneficial reference for study and practice of database retrieving and data processing service.

In the era of social networks,the great changes have taken place in library service form,service type,service mode etc.The process is more diffuse and the pattern of change is more chaotic.Therefore,the research on the changes of library service in the social networking age is especially important.From the perspective of cognitive behavior,this paper studied the current situation of the social network of library services,analyzed the social network of library services cognitive changes content,analyzed the changing problems.Proposed three stages in the social network of library services cognitive behavior,which was resistance stage,alternating stage and think tank stage.According to library services in cognitive behavioral changing process designed outside value stream and internal knowledge flow path services cognitive behavioral change models.

[Purpose/Meaning]In the field of library and information science,many scholars research on ontology.There is different focus on ontology research in domestic and international.This paper aimed at getting the development situation of ontology of library and information science in domestic and international.[Method/Process]This paper selected some papers about ontology of library and information science from CNKI Chinese database and SCI foreign language database from 2012 to 2017.Using tools to scientific analysis and visual presentation.The paper focused on the hot key words and popular authors.It analyzed there aspects:research direction,research level and research novelty.[Results/Conclusion]It get ontology of Library and information science in domestic and international comparative analysis.Thus it recognized the differences of research in domestic and international.and provided research direction to the follow-up researchers.

ESI Subject performance evaluation requires not only existing data analysis,but also historical data and continuous data to find the discipline development law.As an analytical tool for scientific research performance analysis,incites database plays an important role in the evaluation and analysis of ESI discipline.This paper analysed the significance of continuous data of Incites database on the dynamic evaluation and continuous tracking analysis of the school's ESI discipline.The dynamic data of the ESI discipline and the analysis of the continuous tracking were presented in this paper.

[Purpose/Significance]Think tank is an important part of national governance system.The information resource guarantee system is the foundation of decision-making research of think tanks.It is necessary for think tank to build the information resource guarantee system to improve think tank research quality.[Method/Process]Using the method of literature research,the current situation of think-tank information resource security was analyzed.According to the think-tank service subject and object and their information needs,the construction principle and system of think-tank information resource guarantee was cleared.[Results/Conclusions]Based on the above analysis,the information resource guarantee system of the think tank was constructed,and the operation measures of the information resource guarantee system of think tank were put forward.

[Purpose/Significance]Under the influence of online media,the environment,ways and other aspects of public participation have changed a lot.Reviewing the influences caused by online media to public participation in the community,the findings of these research were reviewed,classified and summarizied for providing suggestions to the relevant research in the future.[Methods/Process]Using database of Wanfang Foreign Literatures,Elsevier SD Journal Full-text and CNKI,the related literatures were carried out,and general overview of the retrieval situation were given.Then the relevant researches abroad were summarized and 38 main research contents in domestic related researches were listed,and general summary was given.[Result/Conclusion]Further research on the impact of online media to the public participation should be strengthen,and it was necessary to focus on the depth and breadth of online media's influence on public participation,to optimize the tactics of online media intervention in public participation,to enrich the theoretical connotation,to pay attention to the empirical research methods and to achieve the public participation of online public subject diversification.

[Purpose/Significance]To card and review the literature of knowledge network from systematical perspective is valuable and insightful for potential researchers.[Method/Process]The knowledge network research was divided into four clusters including structure,behaviour,evolution and performance by literature sorting,and the fruits of every aspect were systematically organized and discussed.[Result/Conclusion]Currently,knowledge network was a interdisciplinary research field.From structure dimension,the research focuses on topological structure,small-world network structure,and structure forming mechanism;from behaviour dimension,the mechanism and paths of knowledge learning,sharing,integrating and innovating were emphatically discussed;from evolution dimension,built models and simulated them to attract much interests;from performance dimension,the impacts of knowledge network on knowledge increased,technology innovation and organization growth were concentrated.