[Purpose/Significance] Under the background of digital network,knowledge economy and big data,Five Metrics Science shows new characteristics and development trends.Five Metrics Science has new phenomena and new problems.We need to adopt new thinking and new methods to study and solve the research results,integrate research methods,for the integration of Five Metrics Science direction.[Method/Process] In this paper,content analysis and inductive deductive method were used to analyze relevant studies.[Result/Conclusion] Six "Five Metrics Science" knowledge fusion modes were proposed tentatively:knowledge fusion based on semantic rules,Knowledge fusion based on bayesian networks,Knowledge fusion based on D-S theory,Knowledge fusion based on knowledge mining,Knowledge fusion oriented to grid environment and Knowledge fusion oriented towards approximate knowledge.Two control methods of knowledge fusion process of "five plans" were proposed:knowledge fusion evaluation;Knowledge fusion system.

This paper examined the implementation of the first five batches of "Recruitment Program for Global Young Experts" in chemistry field,based on the analysis of quantity of paper,type structure,paper impact,scientific collaboration network and grant of their academic paper.It showed a linear growth in the quantity of paper;the citations per paper were above the national and international average;several mainly collaboration network among authors and among institutes had been formed;the items of grant from central and local government were more than national average.Chemical biological,organic synthesis chemistry,new chemical energy,polymeric chemistry and physics,and inorganic nanomaterials were the hot topics.The paper made following recommendations:establishing active collaboration networks and expanding the network scale;enhancing the number of publish paper in journals of high impact factor,strengthening the international cooperation in paper publishing.

[Purpose/Significance] The purpose of this paper was to intuitively understand the current development of management at home and abroad,provide reference for future management studies,and promote the development of management.[Method/Process] Taking the related literature in CNKI journal articles and Web of Science journal articles from 2008 to 2017 as the research object,using bibliometric analysis and co-word analysis,using CiteSpace to make research hotspots and research trends of management Visual analysis.[Result/Conclusion] Studies showed that domestic research focuses on Innovation,Supply chain management,Sustainable development,etc.,and foreign research focuses on Innovation,Leadership,and Organization.The research trend of domestic management were the development of Big data and the application of Value co-creation,and the research trend of foreign management were the application of Social identity theory and the significance of Social responsibility.

[Purpose/Significance] Through comparative analysis of Econometric studies at home and abroad,we can understand the gaps between domestic and foreign research.And we can infer future research directions at home and abroad according to the changes in research hotspots.[Method/Process] In this paper,CNKI and web of Science were selected as data sources.The literature on Econometric disciplines at home and abroad,from 2008 to 2017,was made through visualization software CiteSpeace and was analyzed from the aspects of age distribution,keywords,periodicals,research hotspots,and research frontiers.[Result/Conclusion] Studies showed that the research at home and abroad was always at a relatively high level.In terms of the breadth and depth of the fields involved in studies,domestic research was lagging behind foreign countries.Using Econometrics to analyze and solve various social phenomena and practical problems might be a new hotspot for future research.

[Purpose/Significance] The field of modern economic theory has developed rapidly.How to master the development of this field systematically through domestic and foreign comparison has become an important research topic.[Method/Process] Based on the related theories and methods of informetrics,the literature of the modern economic theory field in CNKI and Web of science from 2008 to 2017 were selected.And we used statistical software CiteSpace to conduct statistical analysis,mainly from the age distribution,high cited papers,core authors,research fronts,etc.[Result/Conclusion] Studies showed that from the perspective of the research paradigm,domestic countries mainly focused on the construction of the theoretical guidance practice model,and foreign countries came up with valuable conclusions by building the model.Judging from the research content,domestic research emphasized on natural ecological economic development,while foreign research mainly focused on the model and market research in the field of modern economic theory.Through this differentiated analysis,new trends in the development of modern economic theory at home and abroad could be clearly identified.

[Purpose/Significance] Entity semantic relation classification is one of the important tasks of information extraction,translate unstructured text into structured knowledge,the basic work of constructing domain ontology,knowledge graph,developing question answering system and information retrieval.[Method/Process] This paper sorted the development of entity semantic relation classification in detail,reviewed and summarized the latest research results in recent five years from technical method and application,finally pointed out the shortcomings of the research on entity semantic relation classification and the future research direction.[Result/Conclusion] Deep learning abandoned traditional machine learning methods with cumbersome feature engineering,automatic learning text features,the experiments showed that incorporating lexical and syntactic features into the neural network and introducing attention mechanism could effectively improve the performance of relation classification.

[Purpose/Significance] The context-aware technology which facilitates the library with more intelligence of service,has became a new trends in electronic library development.[Method/Process] In order to improve the recommendation accuracy,this paper proposed a collaborative filtering model based on Naive bayes,and it had context-awareness.An experimental study was given to assess the effectiveness of the model.First,it described the user by acquiring their current context and historical preference.Then it used Naive bayes to measure the similarities of users.After that,we got the predicated recommendation result.[Limitations] The result proved this model was preferable to classic collaborative filtering method,thus could provide better personalized service to library collection recommendations.

[Purpose/Significance] As one of the outstanding technologies and applications of Internet,search engine represents sometimes the level of the development of the Internet.To understand the development of the current search engine is conducive to better grasp the dynamic of the technology frontier.[Method/Process] This paper expounded the development history of search engines,emphatically introduced the principles and application scenarios of search engines based on structured data,and revealed the characteristics of search engines based on structured data.[Result/Conclusion] Structured Data based search engine was the inevitable result of Internet,and it was also a highlight of Internet development.Search engines would continue to embrace the Internet's core technologies and ideals,and play a more prominent role in people's learning and life.

[Purpose/Significance] Mobile reading has become the mainstream trend of reading for all people.How the user uses reading tools to enhance their reading experience in the mobile environment is of great significance in advancing the quality of mobile reading services.[Methods/Process] Semi-structured interviews were conducted for 10 typical users.On the basis of collecting a large amount of interview data,qualitative research methods were used to analyze and summarize the interview data to extract factors then analyze the path relationships between the factors.[Result/Conclusion] This study concluded with five main categories:Perceiving Physical Affordance,Social Value,Emotional Satisfaction,Internal Organizational Environment,and Reading Value Cognition.Based on this,a theoretical model of influencing factors and action paths was constructed.The research results had positive practical value for improving the reading experience of mobile users,to help deepen the future direction of mobile reading services from the perspective of user experience,and provide some reference for media operators in resource organization and service updates.

[Purpose/Significance] From the perspective of user information adoption behavior,the paper studied the influencing factors of personalized recommendation of digital library through the mediation effect of information adoption intention.[Method/Process] On the basis of the theory of planned behavior,the digital library personalized recommendation user information adoption behavior model was constructed.what's more,the model was tested and analyzed through empirical research.[Result/Conclusion] The results of data analysis showed that the information adoption intention had a mediating effect when perceived usefulness,user expectations,information quality and subjective norms had an influence on the digital library's personalized recommendation of user information adoption behavior.

[Purpose/Significance] This article aimed to explore the formation mechanism of users' willingness to share health information in social networks,and to provide management inspiration for social network developers,designers and operators.[Method/Process] Based on the "in-depth interview and grounded theory",the mechanism of information content and information trust in the ecological chain of social health information under the analysis framework of second-order information chain(including second-order information chain and second-order trust chain)was obtained,and analysis was developed by integrating the key factors extracted from the perceptive value theory,theory of trust and technology acceptance model,as well as conducting systematic analysis and proposing the research hypothesis model from four aspects,which included information subject,information environment,information content and information technology.The in-depth users of WeChat were selected as empirical samples and 400 valid data samples were obtained through "situational experiment and questionnaire survey",and the theoretical model was verified by the research method of structural equation model.[Result/Conclusion] Information subject factors(share value,self-efficacy and face concern),information environment factors(sharing attitude,information source attraction cognitive trust and emotional trust,information sink impetus cognitive trust and emotional trust),information content factors(information positive and negative emotion)were all have significant positive effect to the social network users' health information sharing willingness.However,Information technology factors(perceived usefulness,perceived ease of use)had not significant effect on sharing willingness.

[Purpose/Significance] Due to the uncertainty and risk under social commerce environment,users may have a poor experience,which may negatively affect their transaction intention.As a significant characteristic of social commerce,social interaction may mitigate information asymmetry and improve user experience.Thus,it is necessary to examine the effect of social interaction on social commerce users' experience.[Method/Process] The research collected 287 valid responses and conducted data analysis with SPSS20 and LISREL.[Results/Conclusions] The results indicated that human-computer interaction(including perceived control and personalization)and human-human interaction(including expertise and familiarity)had significant effects on flow experience,which in turn affected users' social sharing and social purchase intention.Thus,social commerce platforms need to facilitate social interaction in order to improve users' experience and promote their behaviour.

[Purpose/Significance] Based on the model of Person-Artifact-Task model,this paper explored the influence of three dimensions of knowledge question and answer Community on user's own characteristics,community characteristics and task characteristics on experience of mind flow,Influence,and analyzed the intermediary role of flow experience.[Method/Process] In this paper,205 online questionnaires were distributed to active users of Baidu Knows community,and structural equation model analysis were carried out by using AMOS21.0.[Resulut/Conclusion] Perceived ease of use plays a key role in generating a flow experience for users,challenges,skills,perception control,interaction,and interest also had varying impact on the user's flow experience.At the same time,users' flow experience would positively influence their continuing knowledge sharing intention.The intermediary role of flow experience was set up.Based on the research results,this paper put forward suggestions on the feasibility management of community website managers.

The application of Scientific Social Network is more and more popular in our country.This paper explored the former motivation of user academic social insufficiency in the scientific social network.This paper focuses on MuChong forum and collected data on the academic social activities of 12 users,using the NVivo 11 qualitative analysis software to analyze the original data of the interview,and summarized the 13 subcategories that affected the academic social insufficiency of the scientific social network users and focused on the data for the 4 main areas,including the individual intention factor,the platform objective condition,the information factor and the academic social characteristic.The paper provided some theoretical guidance and reference for optimizing the academic social behavior and improving the academic social function of the scientific social network.

[Purpose/Significance] Based on the concepts of "social" and "socialization" in Internet industry,we take Netease Cloud Music as the specific object to study the impact of social experience on mobile APP's continuance use intention.[Method/Process] This study uses the Expectation-confirmation model to build a model to study the impact of social experience on continuous intention,collect data through questionnaires,and analyze the data by structural equation modeling.[Result/Conclusion] The results show that users' get experience,flow experience and interpersonal experience gained by mobile music APP using significantly affect their satisfaction,and get experience and satisfaction significantly affect their continuance use intention.

[Purpose/Significance] Knowledge payment has become a new emerging model of knowledge sharing in the era of mobile big data.This study integrated expectation confirmation theory and the theory of perceived value to construct a research model of factors that influenced consumer's intention to purchase the paid-knowledge service form the trial perceptive.Our research would help to further understand consumer's knowledge purchase behavior.It also provided references and suggestions for the design and optimization of the trial strategy for the knowledge service providers.[Method/Process] Based on survey method,282 valid samples were collected.These data then used with structural question modeling technique to test the research model and all the hypotheses related.[Result/Conclusion] The results found that utilitarian value and hedonic value had significant positive impact on consumer's trial satisfaction on paid-knowledge service,but trial cost did not.Price fairness had positive effect on consumer's purchase intention,however,trial satisfaction could not directly translate into consumer's purchase intention.Furthermore,price fairness mediated the relationship between trial satisfaction and purchase intention.

Whether to embrace OA and how to choose OA development route may determine the future of open science frame and digital publishing pattern of a country.However,there is still a lack of analytical methods on open access.This paper focused on the non-regulatory problems of academic quality and APC mode confusion in current OA publishing,and studied the big data monitoring methods on global OA publishing.A global OA journal publishing monitoring system was designed,including monitoring indicators and monitoring models to monitor the current status,the problems and the warning points of OA publishing.This system would provide the data base for China to choose the OA route,develop the transformation of scientific journals and promote the open science.

[Purpose/Significance] Effective reviews can not only provide valuable reference for consumers to make purchasing decisions,but also provide enormous commercial value for e-commerce operators.[Method/Process] This paper quantified the usefulness index of reviews,determined the attribute weight by fuzzy analytic hierarchy process(FAHP),and ranked the usefulness of online reviews according to grey correlation analysis method.Based on usefulness,the influence of online reviews on sales performance was explored.[Result/Conclusion] It is found that the negative comment was more likely to be highly useful.The number of reviews and the timeliness of reviews significantly promoted sales.The influence of emotional tendencies on sales of search products was not significant.

[Purpose/Significance] In view of the huge number of documents,the long time consuming and the high cost of digitalization of massive historical documents,In this paper,crowdsourcing was introduced into the work of digitalization of traditional documents,and a massive digital document processing method based on crowdsourcing mode was formed.[Method/Process] According to the characteristics of historical literature,this model combined the spontaneous knowledge production model of the network with the expert oriented model,and put forward the corresponding user incentive and quality control scheme,so as to ensure the high efficiency,low cost and quality control of the crowdsourcing task.In addition,the feasibility and efficiency of crowdsourcing mode in the digitalization of large scale literature were verified by the historical documents of Guangdong Customs late Qing Dynasty.[Result/Conclusion] This mode provided new ideas and methods for dealing with historical documents,and had broad application prospects.

[Purpose/Significance] There is a lack of information in organization knowledge visualization under a single data source.Visualization based on multiple data sources can complement each other and complement each other.[Method/Process] The key technology of dynamic visualization of mechanism knowledge under multi-data sources was analyzed,and a knowledge construction method of multi-granularity data sampling and attribute value weighting was presented for the superstar problem of knowledge nodes.The system architecture of the platform was discussed and designed in detail.Finally,the platform was implemented based on Echarts visualization suite.Cooperative relations,research hotspots and institutional distribution were realized.[Result/Conclusion] Multi-data source knowledge visualization platform could make up for all kinds of relationships that may be lost in a single data source.Multi-data sampling could make the visualization results beautiful and coordinated,and provide information support for the decision-making of academic development,research direction establishment and research team formation.