[Purpose/Significance］The mathematical model was constructed to study the modeling and prediction of network topic dissemination law,in order to provide theoretical references for further research on the dissemination law of network topic.[Method/Process］This paper qualitatively analyzed the characteristics of big data,quantifiability,measurable periodicity,predictability and other characteristics of network topic dissemination.Through the analysis of network topic dissemination mechanism,the normal model and derivative model of network topic dissemination law were constructed.The general method of dividing the stages of network topic dissemination was put forward and the trend prediction of network topic dissemination was studied.[Result/Conclusion］Through empirical analysis of microblog topic data of"haze",the dissemination stages could be well divided and the dissemination trend could be predicted.Therefore,it was feasible to study the network topic dissemination law based on the mathematical model established in this paper.

[Purpose/significance］The purpose of this paper was to mine the relationship between applications and technologies,and to know applications of technologies and optional technologies of applications,and provide the base for technology transformation.[Method/Process］Firstly,established an"application-technology"discovery model based on improved GloVe word vector and improved the word vector training algorithm.Then,collected academic literature abstracts in the field of machine learning,built the training text set after preprocessing,and used the improved GloVe model to obtain the word vector;finally,clustered the word vector to obtain the"application"and"technology"vocabulary sets,and acquired the relationship between them to analyze the cooccurence.[Result/Conclusion］The experimental results showed that the performance of the word vector obtained by the improved GloVe model was better,the clustering effect was good,and the correlation analysis of"application-technology"was finally realized.

[Purpose/Signficance］Fine-grained analysis of the development context of hot topics in the subject field and accurate prediction of future development trends using machine learning algorithms.[Method/Process］This paper proposed a research hotspot prediction method and analysis framework based on machine learning algorithm.Taking the field of genetic engineering as an example,it used the topic probability model to identify the hot topics of the WOS core summary data and constructed the theme evolution association.Then selected three typical machine learning algorithms,such as BP neural network,support vector machine and LSTM model to predict and analyze.Finally,the prediction results of the machine learning algorithm were evaluated by using RE index and precision index,and analysed the research trend in the fields of medicine and health and agricultural food in the field of genetic engineering.[Result/Conclusion］The experiment showed that the LSTM model had the highest prediction accuracy for the future development trend of hot topics,the prediction effect of support vector machine was the second,the prediction effect of BP neural network was poor and the prediction stability was insufficient.At the same time,combining expert consultation and literature research,it showed that this method could quickly identify the topic and development trend of gene field.It could provide decision support and reference for the judgement and adjustment of the discipline in China.

[Objective/Implication］The paper discussed the key issues in the implementation of scientific data citation standards,summarized the foreign practical experience,and provided reference for the standardization of scientific data citation in China.[Method/Process］Based on comprehensive research of the reference standards on scientific data at home and abroad,the case analysis method was adopted,from four aspects such as the development of data reference services,the joint implementation of data citation standards implementation guides,the development and application of data reference systems,and the feedback on the implementation of citation standards in-depth analysis Australian ANDS data citation practice.[Results/Conclusions］Through research and analysis,the author put forward the implementation recommendations for China scientific data citation standards:convenient user services,embedded use of DOI technology,systematic data storage and management,and extensive business cooperation.

[Purpose/Significance］Exploring passive behaviour's formation mechanism of strong-ties social media users and the interaction mode of variables,and providing positive comments and suggestions for developers and operators of strong-ties social media to improve service quality,optimize user experience and improve user stickiness. [Method/Process］Based on the dual analytical perspective of motivator and inhibitor,taking the typical application of strong-ties social medias WeChat Moment as the empirical research object,this article got text data through the depth interview with experienced users,extracted concepts and categories through three steps including open coding,axial coding and selective coding to build the conceptual model,and carried out the theoretical saturation test.[Result/Conclusion］Situational factors consisting of information overload,social overload and system dissatisfaction and cognitive factors consisting of perceived privacy risk,psychological fatigue and using addiction promoted users' passive behaviour.Situational factors consisting of network externalities,group norms,added functional value and conversion barriers and cognitive factors consisting of information needs,functional needs and emotional needs inhibited users' passive behaviour.With the dual forces effect of motivators and inhibitors,users had different kinds of passive behaviours such as prompt cancellation,shielding,controlled using,diving and intermittent using.In addition,individual factors consisting of demographic characteristics,personality characteristics,relationship characteristics and usage characteristics regulated the relationship between motivators as well as inhibitors and users' passive behaviours.

[Purpose/Significance］The paper aimed to explore the influence factors of tourists' social search motivation,and provided a reference decision-making reference for tourism agencies to launch marketing actives and motivate tourist to travel.[Method/Process］Based on the experimental method,this paper explored the task uncertainty(deterministic task vs.uncertain task),perceived information loss(high vs.low),and time distance(long vs.short)how to effect tourists' social search motivation.[Result/Conclusion］Results showed that:(1)compared with the deterministic task,tourists' social search motivation was greater under the uncertain task;(2)compared with the low level of perceived available information deficiency,tourists' social search motivation was greater under the high level;(3)compared with long time distance,tourists' social search motivation was high under short time distance;(4)time distance could adjust the relationship between task uncertainty and tourists' social search motivation;perceived time distance was short,task uncertainty had no impact on tourists' social search motivation;perceived time distance was long,socialized search motivation was strong under uncertain tasks,and social search was weak under certain tasks.

[Purpose/Significance］The casual-leisure search has different rules from the result-oriented search behavior in the context of work tasks.It is important to explore the characteristics of search behavior in the context of leisure for the optimization of information system functions,so as to provide more effective support for users' daily information search.[Method/Process］On the basis of the Berrypicking model,the diary study method was used to carry out a week's video search experiment with 23 participants.Through text analysis and data modeling,the characteristics of the casual search behavior were analyzed from four aspects:query variation,thougt,information & document and exit.[Result/Conclusion］Users' needs and changes in casual-leisure search brpught about query variation;users maintained an open choice of information and the search was evaluatee from users' emotional experience.Casual sexual search was a natural process of information acceptance and utilization.It was also a leisure activity that brought pleasure experience.

[Purpose/Significance］In order to evaluate the knowledge literacy level of new citizens,the evaluation system was constructed and empirical studies were conducted to help them integrate into urban life.[Method/Process］Firstly this paper constructed knowledge literacy standards of new citizens by means of Delphi,and then formed a"new citizen's knowledge literacy assessment system(NC-KLAS)through expert scoring and two level indicators empowerment.Finally it selected the two groups of urban citizens and new citizens to carry out empirical research.[Result/Conclusion］This paper formed a new public knowledge literacy evaluation standard and a system through study,and discovered the problem of low knowledge capacity of the new citizens as well as putting forward some suggestions.

[Purpose/Significance］This study developed an integrated model designed to explain and predict users' continued use of mobile library based on the expectation confirmation model and by incorporating the concepts of computer self-efficacy and social reading service quality.[Method/Process］Questionnaires were employed in the survey and structural equation modeling was adopted to test the hypothesis concerning the relationship between different variables.[Results/Conclusions］The results suggested that:(1)the integrated model could explain and predict users' satisfaction and continued use of mobile library services to a large extent,accounting for 52% and 45% of the variance in satisfaction and users' intention;(2)users' behavioral intention towards continued use of social reading services was mainly determined by their satisfaction,perceived usefulness and perceived ease of use;(3)IT self-efficacy exerted positive effect indirectly on users' continued intention towards social reading services through perceived ease of use;(4)besides,efficiency,information quality and privacy security of the quality of social reading services exerted positive influences on confirmation respectively,which in turn determined user satisfaction.

[Purpose］Social media user collective behavior is a complex dynamic process,which affected by factors in many aspects.[Method］This paper straightened out and summarized relevant concepts,main features and influencing factors of social media user collective behavior.From the perspective of means-end chain,The"Attribute-Consequence-Value"framework was proposed in three aspect:group external environment,group organizational norms and group member relationship,group common requirement.This paper explored the correlation between different levels of influencing factors,and outlined the hierarchical map.[Conclusion］The results appeared to reflect the different paths of social media user collective behavior occurring.Finally,corresponding strategies for different stages were proposed.

[Objective］The construction of smart library is a comprehensive and systematic project which integrates many disciplines and advanced technologies.As the most disruptive and innovative technology nowadays,the blockchain technology must be studied and mastered by libraries,and the library application systems of"Blockchain+"must be constructed actively,so as to speed up the construction of smart library.[Contents］This paper introduced the blockchain technology and its' core values,analysed in detail the application advantages of blockchain technology in the construction of smart library,and finally designed four application systems of smart library based on blockchain technology.[Methods］The feasibility of the application of blockchain technology in library intelligent service was studied by using methods of literature research and comparative analysis,the new and old application systems were compared and analyzed.[Results/Conclusion］Blockchain technology had three main features:data stability,consensus mechanism and decentralization.It could effectively solve the difficult problems of traditional libraries in information collection,storage security and information dissemination.It was a key technology for building smart libraries.There were still many shortcomings in the practical application of blockchain technology in Chinnese libraries.It needed continuous learning and reform in Chinnese libraries in order to keep pace with the rapid development of other blockchain industries.

As a useful tool for user analysis and service design in big data and"Internet+"environments,the deep learning provides new research ideas and development directions for the recommendation services of library resources.Firstly,this paper analysed and summarized the current status and application of recommendation services of library resources at home and abroad through literature review and network survey.Secondly,based on the overview of deep learning technology and related application practices,this paper proposed the library resource recommendation model from the perspective of user's interest value.Finally,the recommendation model of library collection resources was discussed respectively from three aspects:data association,scenario analysis and collaborative filtering technology,which could provide reference for the user-oriented accurate recommendation of library resources in big data environment.

[Purpose/Significance］Drawing on the experience of the first-class university libraries in the United States,the article explored the development path of research support services suitable for Chinese university libraries.[Method/Process］Using the case investigation method and comparative analysis method,the article selected the top 30 university libraries in China and the United States for investigation,comparison and analysis.[Result/Conclusion］Compared with China,More American university libraries set up special columns for research support services,and the services were rich in content and can run through the whole research process,such as user training,research topic selection,fund application,survey and experiment,essay writing,result storage and sharing promotion.Chinese university libraries should embed research activities centered on users,deepen traditional services such as resource navigation,reference consulting and subject librarians,and expand emerging services such as research data management,academic publishing and copyright advice.

[Purpose/Significance］In order to evaluate the influence of academic papers comprehensively,the paper compared and analyzed the usage behavior of different types of scientific papers on the same topic with the user's academic behavior data.Based on usage count of scientific papers in the Web of Science,this paper analyzed the usage differences of different disciplinary literature.[Method/Process］We collected"3D printing"paper data(2013-2017),with Chemistry,Engineering for comparative analysis,from the perspective of the discipline of the papers to analyze the correlation between the usage count and citation count,analysis the coincidence of literature of the top10% highly used and the top10% highly cited in this paper,to detect the differences of two types of literature,and with the independent sample T test.[Result/Conclusion］U1 was slightly correlated with citation counts;U2 was significantly correlated with citation counts;there were statistically significant differences in the usage of the two types of scientific papers,the possible reason was that different disciplinary scholars had different literature usage behavior.In addition,the literature type influences usage count,and information of review was abundant,thus review could get more usage and citation.

[Purpose/Significance］As the comprehensive trend of scientific development is gradually strengthened,scientific cooperation has become an increasingly popular method.Through the study of the correlation between the scale of authors and the influence of the thesis,we can find whether the influence of paper is beneficial from cooperation.[Method/Process］Based on the data of journal of the JCR,the paper retrived from the Web of Science and get all the papers and citation in the field of materials science,composites,information science and library science and history & philosophy of science from 2009 to 2012.And it studied the correlation between collaboration and the influence of the paper with the help of multivariate statistical software SPSS21.0 and social network analysis software in the case of authors,affiliations and country.Furthermore,it explored the best scale of cooperation with highly cited papers.[Results/Conclusions］In the fields of materials science,composites,information science and library science and history & philosophy of science,author cooperation,institutional cooperation and international cooperation were all positively related to the influence of the paper,but the marginal benefit of scientific cooperation was different.The scale of scientific cooperation could not be expanded indefinitely.The best cooperation scale of the authors is 2~4,institutional cooperation is 1~3,and national cooperation is 1~2.

[Purpose/Significance］There are fewer compare studies on bibliographic coupling and co-citation analysis.In this paper,we compared connection between documents in bibliographic coupling network and co-citation network,furthermore,we studied the correlation between document similarity and strength.finally,we analyzed what applications they're more suitable for.[Method/Process］Based on complex network theory,bibliographic coupling network and co-citation network were constructed,and,some topological properties of bibliographic coupling network and co-citation network were compared empirically.QAP relational analysis was applied to study relationships between bibliographic coupling,co-citation and similarity of documents.[Result/Conclusion］From the point of view of topological properties of networks,bibliographic coupling established more common and more stable relations among documents,it was effective for retrieving most documents which were cited fewer times.Co-citation made higherly cited papers more connected,it was more effective for identifying and retrieving core documents of domains.QAP analysis showed that bibliographic coupling strength was a more reliable indication of subject similarity than co-citation.

[Purpose/Significance］To explore the output and impact of highly cited papers in major countries/territories of the world with international collaboration.[Method/Process］Based on 186474 highly cited papers of 22 scientific fields in 2008-2018 which obtained from the Essential Science Indicators(ESI),we took top 10 countries/territories with the highest number of highly cited papers as the main research samples.Then we analyzed the output and impact of highly cited papers by taking collaboration and non-collaboration into consideration.Besides,this paper focused on the analysis of the international collaboration output and impact of China's highly cited papers.[Results/Conclusions］International collaboration had different effects on research output in different countries/territories;There was no significant positive correlation between the intensity of international collaboration and the impact of papers;In China,International collaboration made positive contributions to highly cited papers in most scientific fields,but in some fields,the overall citation impact of internationally collaboration highly cited papers was lower than non-international collaboration highly cited papers.

[Purpose/Significance］Recent advances in cognitive neuroscience are uncovering the neural bases of cognitive,emotional,and social processes,and they offer new insights into the complex interplay between IT and information processing,decision-making,and behavior among people,organizations,and markets.This paper introduced the literature of drawing upon the cognitive neuroscience tools to inform IS research(herein termed"NeuroIS").[Method/Process］The paper reviewed the emerging NeuroIS literature,based on René Riedl's literature search,from two perspectives,namely(1)the perspective of research tools,followed by a discussion of the methods,tools,and measurements associated with NeuroIS,and(2)the perspective of research content,these literature were herein grouped by four mental processes categories(decision making,cognitive,emotional,and social)to reflect the variety of NeuroIS literature.[Result/Conclusion］The challenges of applying neuro-physiological methods to IS research were also discussed.The paper concluded that there was considerable potential for using cognitive neuroscience theories and functional brain imaging tools in IS research to enhance IS theories.

[Objective/Meaning］Understanding the research status of user adoption behavior of mobile libraries in China will be conducive to deepen the theoretical study,and provide guide for improving the service quality of user adoption behavior of mobile library.[Method/Process］According to the content analysis method,this paper sorted and analyzed related domestic literature about mobile library user adoption behavior from the perspective of research object,research design,theoretical model,and influencing factors.[Results/Conclusions］Current researches focused on the discussion of factors affecting adoption behavior.In order to enhance mobile library services,future research should predict and explain user behavior in several ways:expansion of research scope,combination of various theoretical models,the integration and sustainability of research content.

[Purpose/Significance］With the development of Internet new media technology,the research on Micro-learning is increasing year by year at home and abroad.Discussing the hotspot and frontier of Micro-learning is helpful to clarify the direction of relevant research development and deepening.[Method/Process］Based on the retrieval of CNKI and Web of Science databases of China HowNet,this paper outlined the trend of related research at home and abroad since 2008 by using the method of literature analysis.By using the co-word analysis method and SPSS software,the key words Co-word matrix and its related matrix and dissimilarity matrix of new media research at home and abroad were established.Through cluster analysis and multi-dimensional scale analysis,combined with strategic coordinate analysis,the hot topics of Micro-learning were summarized.By using citespace,the knowledge network Atlas of"micro-learning"research was drawn,and the research frontier of"micro-learning"was discussed.[Result/Conclusion］The hot topics of domestic micro learning were divided into mobile learning resources,online education and learning behavior,while the hot topics abroad include online learning and education,online learning strategies.And domestic micro learning research tended to be professional,and micro learning research was closely integrated with online education under big data,while the research tended to be closely integrated with practical application.Therefore,these hotspots and frontiers could become the direction of further research and development.