[Purpose/signfi cance] To construct the ideal academic network of library from the view of social network, to promote the academic research of library, and to improve the ability of librarians'knowledge service.[Method/process] This paper analysed the current academic environment of library by the papers from 8 library and information journals, compared the academic network structure of natural science, summed up the network structure of library and information science, the network structure hole theory combined with knowledge map for a comprehensive interpretation of the institutions, research topics, the author academic network. [Resule/conclusion] Setting reasonable "K-plex" value to constrain the academic Cohesive Subgroups Network and cooperating with relevant scientificresearch policy was not only suitable for the development of academic research, but also for the sound development of library and information science.

Thepaper defi ned the concept, described the elements, constructs conceptual model and analyzed the imbalance causes of network information ecology system. The author revealed the driving factors from overall perspective of how network information ecology system keeps balancing by three kinds of mechanism such as realization mechanism, maintenance mechanism and recovery mechanism. Theauthor also constructed an operation mechanism model of network information ecology system by using system dynamics under the systemic theory. At the end, the paper gave some strategies to optimize the operation effi ciency of network information ecology system, such as built information users' behavior normalization mechanism, used ontology to describe the ill information, made the semantic reasoning rules to mining potential ill information, installed a defect monitoring device to repair the vulnerability of information environment.

Firstly, strategic emerging industry knowledge sharing infl uencing factors initial set has been constructed based on the existing research results. Th en the data were collected by questionnaire, and the data were analyzed by SPSS17.0 statistical soft ware and the factor analysis method. Theresults showed that 3 common factors aff ecting the knowledge sharing of strategic emerging industries like knowledge sharing people, knowledge content and knowledge sharing environment had been extracted. Theresults could provide support for improving the effi ciency of knowledge sharing in strategic emerging industries.

User behavior of quality evaluation and value perception have received considerable attention of scholars during the process of information resource utilization. In this paper, based on the results of previous research, the relationship between quality evaluation and value perception, as well as value perception mechanism for quality evaluation were studied with empirical data collected via questionnaires. Theresearch and experiment suggested that the relationship between quality evaluation and value perception was signifi cant association. It meant that the value perception behavior could aff ect quality evaluation in a way of mediating eff ect and it would determine the result of quality evaluation. Based on the results obtained, it presented some advices on future research directions in the hope of providing enlightenment and support for relevant theory research.

Understanding the diff erence of rumor making/spreading and disproving of male and female helps making targeted measures to dispel rumors in social media. Based on dataset of rumors from Sina Weibo, this study combined a Chi-square test with topic analysis (via Latent Dirichlet Allocation) to examine the diff erence and inherent mechanism of rumor making/spreading and disproving of male and female users. The main findings were as followings: the rate of rumor making/spreading in female users was significantly more than the rate of rumor making/spreading in male users; While, the rate of rumor disproving in male users was signifi cantly more than the rate of rumor disproving in female users (x²=169.426, P<0.001). Both female and male users concern topics of international relation. However, there were still diff erences between female and male users. Themain topics of female users make/spread and disprove were society safety, food/medicine safety and emergency, while male's was international relation. Several suggestions were provided for social media operators to dispel rumors.

Through the research to the spatial information ecological model of university library and the case study of microcosmic information ecosystem of makerspace of library of Michigan University, this paper provided some reference to the establishment and application of the makerspace of domestic university libraries. This paper discussed the information ecosystem of university library makerspace from three aspects: information person, information technology and information environment. Selecting Michigan University library as a case to analyze the operating mode of its spatial information ecosystem. It was necessary to pay attention to the following four aspects during the construction of domestic university libraries makerspace: adopting the people-oriented construction concept, focusing on the rational allocation of resources, strengthening the interactive design of physical environment and formulating the management norms of makerspace.

Based on competitive technical intelligence analytical method, this paper studied the key factors and selection models of formulating enterprise's product innovation strategies. On this basis, the paper applied competitive technical intelligence to the development and innovative management of product according to the bottleneck and problems of technology innovation of biomedical enterprises. Eventually, a product innovation strategic plan of biomedical enterprise was formed, providing decision support for its strategic development.

It's valuable to effectively predict the behavior of people in online social networks. Based on the analysis of the phenomenon of many kinds of interaction in online social network, this paper built an online social network link prediction method based on multidimensional social relationship. The paper constructed a multidimensional online social networks structure based on social influence and selection mechanism. Took into account the topology of the nodes and edges about each dimension, to realize the aggregation of multidimensional social networks prediction matrix. Finally carried out link prediction on the reduced dimension networks. Th is paper used Baidu PostBar data set to evaluate the model from both AUC and precision, the result showed that the method proposed in this paper was effective.

Exploring the methods and applications of measuring converging index of emerging category, it will help us understand the developing trend of emerging category, and it is of great signifi cant for our decision-making. Based on the theory of science and technology convergence, Th is paper proposed the methods and indicator concerning emerging category converging measurement. it also conducted an empirical analysis with sample of nanoscience and nanotechnology. Themeasuring methods and indicators could be used in other areas widely, and empirical analytical results could be used in nanoscience and nanotechnology developing.

[Objective] In order to overcome the problem of ignoring the spatial relations and semantic information between visual words in traditional visual word bag (Bag-of-Visual-Words).[Methods] In this paper, a LDA-based topic model was adopted which was linearly combined with a visual language model for each word image. And the basic query likelihood model was used for realizing the procedure of retrieval.[Results] Theexperimental results on our dataset showed that the proposed LDA-based representation approach could effi ciently and accurately attain to the aim of keyword spotting on a collection of historical Mongolian documents.[Conclusions] Meanwhile, the proposed approach improved the performance signifi cantly than the original BoVW approach.

Thenetwork structure of government microblogging based on Social Network Analysis was studied by introducing the complex theory. Taking 917 government aff airs microblogs in Chongqing as objects of study, the features of network structure and the factors of attention were analyzed from three dimensions of degree, clustering coeffi cient and average path length. Research showed that the government microblogs' in-degree distribution followed a power-law distribution and had features of heavy tailed distribution, and its network structure had better clustering characteristics, which met the basic characteristics of small world. In addition, this paper provided some suggestions for the development of government aff airs microblogs.

In the process of emergency events, rumors that flyfast on the Internet can trigger secondary disaster and seriously affect governments' emergency response. Only when most of the netizens proactively recognize rumors, the network channel that diff use rumors can be blocked. Th is study constructed a conceptual model of factors infl uencing the behavior intention of recognizing Internet rumors in emergency events, based on the Th eories of Planned Behavior, Risk Perceived, Social Capital, and Deterrence. It made an empirical study using questionnaires collected from the Internet. Theresults indicated that netizens'attitude, social capital, and certainty, severity, celerity of the sanction positively aff ect their behavior intention of recognizing Internet rumors in emergency events, social capital negatively aff ects perceived risk, and perceived risk positively aff ects attitude.

Thepaper studied on factors of user satisfaction in commodity review. It was helpful to improve customer satisfaction and commodity sales. In this paper, it used the business intelligence soft ware Power BI to carry on the data mining. By extracting the comments, the factors were discussed such as quality, logistics, size, price, color and other factors aff ecting the user satisfaction eff ect. At last, it was found that price and quality were the most important factors.

In order to solve the difference between the degree and direction of the influencing factors of the mobile library users, to explore the factors that aff ect the adoption behavioral of the mobile library users, comprehensively 32 Empirical Research and 8725 independent samples were analyzed. Quantitative and qualitative analysis was used to analyze the variables that infl uenced the adoption behavior from four aspects: knowledge content characteristics, technical media characteristics, situational characteristics and individual characteristics. Theresults showed that perceived usefulness, perceived quality, task-technology matching, perceived ease of use, compatibility, accessibility, subjective norms, self-effi cacy, and innovation were the main factors,and perceived costs had a signifi cant hindrance to adoption. At the same time, according to the research results, combined with the mobile library application situation from the knowledge content construction, system technical support, marketing and user guidance four aspects of mobile library users to promote the adoption of the strategy.

Online consumer reviews are the important part of the customers'review system of e-commerce platforms, and also a vital source of information to potential online consumers. Th is paper used content analysis and correspondence analysis methods to compare the user ratings and reviews information of the B2C e-commerce platforms. Theresults showed that there were signifi cant diff erences between diff erent e-commerce websites and consumer reviews, that consumer reviews were aff ected by commodity categories, and that there were cultural diff erences of consumer reviews of e-commerce websites between China and USA. Theconclusion of the research could provide implications to improve customer reviews management and marketing management of the e-commerce platforms.

Under big data background, it is a challenging problem for libraries to promote the level of data literacy education of university teachers based on amass data resources. Firstly, the paper reviewed the research status and proposes the concept and connotation of big data literacy combined the characteristic of big data, and then put forward the strategy of big data literacy education that included big data consciousness cultivation, big data ability improvement and big data ethics internalization based on the library big data platform and combined closely the characteristic of university teachers. Theproposed scheme could implement data literacy education combining big data technology and improve big data literacy education from three diff erent angles including education cultivation, practice services and virtual interaction, it would help university teachers quickly adapt to the requirement of technological change of big data era.

Th is paper made a survey of the organizational structure in the websites of "211 Project" university libraries, and it made a statistical analysis of the results of the survey, also made a vertical comparison of university library organization. It was found that functional organization held a dominant position in the structure of university library, the number of the institutions was increasing gradually, department names were not standardized, however, the establishment of the institution alters with the changes of the library tasks and readers' need, such as adding information and socialization departments, strengthens library branch, special collection construction and subject services, there were departments related to the library development strategy and evaluation research, but library promotion and intellectual property protection had not received attention. According to the research results, this paper put forward three modes of organizational establishment of university libraries in 21^st century.

Th is paper studied the effective data security protection strategy, in order to deal with the data security threats faced by university library, and provided reliable technical support for the university library to improve the service quality and effi ciency. Theuse of cloud storage, classifi cation encryption, big data analysis, WAF, RBAC and so on technologies and life cycle theory, combined with the data security problems faced by university library, from three aspects of storage security, network security and privacy disclosure to analysis and research. From the three aspects of data cloud security storage, improving network security protection technology, and based on the life cycle of data privacy protection to put forward the multidimensional and effective data security protection strategy of university library.

[Purpose/signifi cance] Themain reason of the low participation of subject services in universities library is the lack of interaction mechanism between the readers and the library, which makes the library service ability and disciplines related to digital resources has not been fully excavated, and also causes the low utilization of the library resource, and can't service in the discipline construction in and universities.[Method/process] Th is article quoted the raise train of thought, between library and readers construct the dynamic coordination mechanism of subject services and resources construction. In constructing a subject related to digital resources collection platform, on the basis of using all the way to collect readers' original characteristic resources, raised the display resources and built interactive mechanism for readers to provide academic exchanges as a way of space, highlighted the characteristics of resources of the original and at the same time, to give full play to the resource application value.[Result/conclusion] Building readers as the center of the discipline of digital resources guarantee system, the resource of dynamic, timeliness and characteristics were fully refl ected, selfbuilt university library digital resources for readers in universities teaching and scientificresearch in accordance with the actual demand of resource security services.

This paper studied the differences of "211"university libraries based on the index of scale, resource allocation mode, by means of factor analysis and cluster analysis. It was proved that there were significant differences of developing level among university libraries, mainly refl ected in scale, resource allocation mode and electronic resources. Th ree reasons:the development level of universities, regional economic development, developing principle for university libraries. Policy for electronic resources was put forward.

This paper analyzed the necessity of library cooperation long-term preservation during the age of big data, international main-stream digital preservation modes, and then presented library cooperation modes and storage modes of digital longterm preservation. Finally, designed the platform model of library cooperation long-term preservation based on OAIS. At the same, elaborated the model confi guration, operating mode, major functions.

Scientific data usage statistics is an important form of scientificdata usage metric, is also an important refe rence for academic research evaluation. Comparing the eff ect and diffi culty of application between three kinds of data usage metric, the article deem that usage statistics was reliable and operable simultaneously. Thepage sorted out the research status, and analyzed stakeholders of data usage statistical. Combining with the characteristics of scientificdata, it summarized the process of scientificdata usage statistics, elaborated the key issues in process, such as data collection, data specifi cation, data cleaning and data reporting. Finally, the page summarized a self thinking and off ered some proposals.

This article used Derwent Patent Database, formulated retrieval strategies about the technology of new energy vehicles, analyzed the retrieval results by using Th omson Data Analyzer (TDA), and also draw the patent map of new energy vehicles of international and domestic. With the patent map, the article grasped the development of new energy vehicles of international and SAIC. Th is research showed that the new energy patents in the global range had been steadily increasing; foreign enterprises attached great importance to patent applications in China; the cooperation between enterprises was not strong.

User innovation is the innovation activity which is achieved with user knowledge instead of knowledge of companies themselves. Clearing up key articles and hot topics of user innovation fi eld can provides an effective method for both academic research and business operation, which will advance the implementation process of the policy "mass entrepreneurship and innovation". Based on the data containing 6186 articles of web of science core collection between 2006-2017, the paper made a visualization study on spacetime, nation, citation and key words analysis with the soft ware CitespaceV. Thestudy showed: America occupied the central position in this fi eld and the researches now was from information science area and business area with research topics focusing on user value cocreation, coordination and management of crowdsourcing project, user community; with knowledge management of communities and operations management of innovation projects.

[Research Objective]By the era of big data, the extent of government open data has become an important embodiment of national competitiveness. [Method]Th is paper analyzed open data policy, government behavior, overall situation and operation mechanism characteristic in France. Moreover, authors showed French pen data portal and data applications, and discussed development and achievement of open data.[Conclusion]According to open data issues in China, authors proposed following suggestions: formulating open data basic principles and policies, establishing open data management and operation mechanism, and setting up open data portal website.

Chinese universities highly value the application of patent but neglect the maintenance, which is mainly caused by their non-commercial motives. In this paper, the definition of commercial motives was discussed. The motives of all Chinese universities, East China University of Science and Technology (ECUST), Shanghai Jiao Tong University (SJTU), Dong Hua Unive rsity (DHU), were evaluated by bibliometric methods. Th is study found that due to the non-commercial motives, the lives of patents of Chinese universities were relatively short, and many of them were abandoned just when the patent annuity subsidy ended. In order to restrain the non-commercial academic patenting, it was advised to modify the assessment systems by adding evaluations on commercialization.

Theera of big data brings both opportunities and challenges for intelligence analysis.Th is paper summarized the big data era background and the trends of intelligence analysis in such environment. Based on existing researches, It made a review of the intelligence analysis method, induced 10 kinds of traditional research methods which based on knowledge、literature、organization、 expert、cognitive psychology etc. It also recognized the limitations of traditional information research methods. And then summarized 7 kinds of research methods and intelligence analysis soft ware under the background of big data.

As the age of big data is becoming, all over the world is becoming more and more intense on the competition of data resources. Clarifying rights of the data has become the key to safeguarding national security, promoting industrial development and protecting personal privacy. Th is paper summarized the research results of the rights problems to data at home and abroad from four research perspectives: structure of data rights, data property rights, data sovereignty and data personality rights. Data sovereignty was fundamentally not a matter of rights, but a technology development issue. In the fi nal analysis, it was the ability to control and analyze data. China's researches of data property rights were not enough, which restricted the development of data industry. At the same time, the domestic researchers were not fully aware of the importance of personal privacy and data protection for maintaining data sovereignty and promoting the development of digital economy.

Comments of network goods have the important value and practical signifi cance for consumer deicing and merchants gather feedback information. How to comb the existing literature is the key problem to deepen the research of the network goods review. Reviewed the international authoritative literature, clustering the keywords, put forward "data flow", "information flow" and "knowledge flow" as the main line. Th is paper reviewed the research progress of network goods, put forward the four levell units" comments transmission", "comments mining", "comments use" and "comments evaluation". In the future, we can study on the fi elds of video bullet-screen comments, pictures mining, collaborative online shopping and evaluation classifi cation.

Public cultural service guarantee law of the PRC was ordered on December 25, 2016, and will be effective on March 1, 2017. Thelaw will play a great role in promoting digital culture. In recent years, the study of public digital culture continues to heat up. Reviewing the research development of public digital culture in China in recent years, this paper started with the three basic problems in the public digital culture: the analysis of the concept, the research range. It dug into two perspectives:public cultural service system and the society governance of digital culture. Theoverall development of public digital culture studies in China's was summarized and future trends of the research development was predicted.