Based on one event on Sina microblog, user’s property and behavior data in the information dissemination path are collected and information communication network diagram is drawn by using social network analysis software Netdraw. Then the network structure, path and impact factor are analyzed. At last, it has been found that the status of communication network is relate with the user’s power, node distribution and other interfere coming from outer microblog.

New opportunities presented by technological developments are being realised but more can be achieved in opening access to scientific reports and data. Funding agencies and universities are beginning to realise the benefits from an open access model for the dissemination of research results. European funding agencies and universities are following two strategies towards open access, the deposit of research reports in repositories and the conversion of journals to an open access business model. Various public statements have been made in support of open access, and several organizations - such as JISC in the UK - are undertaking work to assist all stakeholders in scholarly communication in introducing beneficial changes.

Micro-blog is a new social network platform which has developed rapidly after blog. Based on the study of Sina micro-blog, this paper analyzes the basic structure as well as the general model of information transmission of micro-blog systematically. By studying the behavior characteristics and relation characteristics of micro-blog users and analyzing the relevant variables of the influences of micro-blog, it builds the regression equation of influence.

[Purpose/significance]From the view of organizer of information literacy instruction courses, this paper discusses how to use modern information technology to conduct digital instruction, in order to provide reference strategies of curriculum construction for library and information area.[Method/process]This paper takes Information Retrieval courses of MOOC and Metaliteracy as cases from China and United States organized by authors, and employs web survey and case analysis methods to study information literacy instruction models under digital environment.[Result/conclusion]According to the analysis of information environment, teaching method and teaching resource, this paper summarizes 4 patterns of digital information literacy course and proposes 3 suggestions for optimizing course.

〗Microblog has become one of important information communication tools. In this study, data of users communication based a special subject in a period are tracked and analyzed. Fans network, review network, forward network and citation network occurred in user activities are found, meanwhile, the common and different characteristics and relationships of above four networks are analyzed. These results will benefits to the information communication theory and microblog practices.

Virtual community in the web2.0 era provides new platform for users to produce, acquire, communicate and share information and knowledge, thus receives broadly research and attention. The paper summarizes current research achievements about users’ information behavior in virtual community both at home and abroad from the angels of sociology and psychology, knowledge management, business affairs and communication. On that basis, this paper analyzes the deficiency of existing researches and puts forward the research directions in future.

Competitive intelligence research is an important part of competitive intelligence work, which shows new development trend with the changes in the competitive environments.This paper mainly discusses the new developments of synthetic study and database analysis with related cases.

Microblog has been an important tool of information dissemination and communication. It is  significant on optimizing the microblog platform and exploring the microblog marketing, e-learning, disasters release and so on if the behavioral characteristics of microblog users are comprehended. It is also the basis of studying new communication theory. In this paper, all fields are extracted on microblog platform, and user’s behavioral characteristics and problems when users using microblog are shown through various angles of users’ gender, geography, impact and so on.

Rapid development and application of information technology has produced and accumulated massive amounts of digital information content, and enhanced the capabilities of digital information processing. All algorithms about knowledge service can be researched and developed on this base. The service based on software technology runs automatically can greatly enhance the efficiency of academic exploration and knowledge management, and promote knowledge innovation. This paper also describes several technologies and applications about knowledge service.

Using HAPLR evaluation system of American public library, HAPLR level of 31 provincial public libraries in China is ranked and its limitations are pointed. Based on the improved HAPLR system, the DEA (data envelopment analysis) performance of libraries is measured, and the reason of low service performance is analyzed. In order to improve the service performance of public libraries in China, the paper gives the suggestions on expanding the performance of production boundary, optimizing the resources allocation and improving the service output.

[Purpose/significance] In recent years, with the vigorous development of China's library industry, the discussion of this profession has not stopped, but the development of the industry association of the librarians is less concerned. This study hopes to better understand the development and characteristics of the library associations in Japan, so as to promote the development of the library associations in china.[Method/process] To analyze the development and characteristics of Japan library associations, this paper uses literature survey and content analysis method focusing on the general situation and mode of development of Japan Library Association, Japan School Library Association, Japan Association of National University Libraries, Japan Special Libraries Association, and Japan Medical Library Association,then summarizes its characteristics.[Result/conclusion] And it puts forward the following enlightenment:turning society to the associations, developing autonomy and mediation, perfecting industry association system, strengthening internal management and construction, and expanding the functions of the association.

The present studies on knowledge transfer from public research institutions are reviewed from knowledge transfer models, mechanisms and effects. In addition, this paper also introduces the methods and practical measures for knowledge transfer from public research organizations in North America and EU, so as to provide references for China’s public research institutions.

This paper takes the application of knowledge mapping in information science as example. Firstly, it makes a brief introduction to the necessity of studying knowledge mapping of information science, its research status and development trend. Then the tools, methods and processes of drawing knowledge mapping are introduced. Finally, based on the analysis of contents of 248 papers about knowledge mapping, it comprehensively reviews the general situation of application of knowledge mapping in information science and its sub-domains, and briefly introduces the application of knowledge mapping in the other disciplines or domains.

The effect of network social interaction on real life interpersonal is studied by questionnaire in this article. Firstly, the authors do descriptive statistics about the status quo of network social interaction, which is done from the perspective of the scope, pattern and motivation of communication. Secondly, the authors use measuring scale to analyze the online social motivation, as well as the influence factors based on respondents' demographic variables. On the basis of the above analysis, the authors summarize the characteristics of network social interaction. According to the analysis of experimental data, the authors get to the conclusion about the effect of network social interaction on real life interpersonal communication.

[Purpose/significance]To study the problem of multi-source information fusion in big data environment from the perspective of theory, method, technology and application.[Method/process]Explores the theory foundation and scientific basis of multi-source information fusion, and clarifies the problems and phenomenon of the multi-source information fusion, then summarizes technologies and methods of multi-source information fusion, to present applications of multi-source information fusion in big data environment.[Result/conclusion]Theories of multi-source information fusion include relevance principle, polyrepresentation principle, and sense-making theory.Methods of multi-source information fusion include a series of processes, such as unified resource, data comparison, heterogeneous weighted and a variety of analysis and modeling methods.At last, widely application and demand of multi-source information fusion are presented at the national level, city or level of industry, enterprise organization level.

[Purpose/significance] This paper investigates and summarizes the research progress of fine-grained sentiment analysis, discusses its key issues and key technologies, and points out future research trends. [Method/process] The evolution of coarse-grained sentiment analysis to fine-grained sentiment analysis is described from the perspective of sentiment analysis at different levels of granularity, and the techniques and methods of fine-grained sentiment analysis are classified and summarized using literature research method. [Result/conclusion] This paper summarizes two important issues in fine-grained sentiment analysis, including opinion words extraction and feature extraction. This study will help to understand the key issues and key methods of the fine-grained sentiment analysis.

 As a new business model, especially with the greatly rapid development of Internet technology, e-business has already been widely applied into many kinds of commercial trades. So, it is very important to study commodities pricing strategies in E-business. Currently, the domestic and foreign scholars have done much work. By elaborating the state of commodities pricing strategies in E-business and based on the review of references, this paper discusses the researches and hot spots in the future of commodities pricing strategies in E-business.

As the features of microtext are sparse and highly redundant, the pre-processing and learning methods are the key problems of the data mining for microblog, and have a very important and wide application in many ways. The paper analyzes the characteristics of the microtext, and conducts an introduction and summarization to pre-processing and learning methods and their applications, including short text representation model, short text feature expanding and selection, classification and clustering for short text, hot events detection and automatic summarization, and so on. At last, this paper also proposes the limitations of the recent study, and points out the directions for future research.

Network opinion can be defined as people’s knowledge, attitude, emotional or behavioral tendencies through the Internet which due to stimulation arising from any events. Network opinion control mechanism can understand people’s thought, strengthen cultural construction, promote public decisionmaking, promote socialist political civilization and maintain state stability.It is necessary to enhance recognition of the importance of network opinion, formulate emergency and warning bill, use the law of network opinion, improve network monitoring system, improve the countrysocial relations, and strengthen the theory and applied research.

Word segmentation is one of the key technology for natural language processing such as text auto-classification, information retrieval,information filtration, document auto-index,summarization auto-generation etc.. Chinese word segmentation is difficult problem in word segmentation because of it’s complexity and uncertain language rules in nature.This paper sums up the research comprehensively of Chinese word segmentation algorithm, disambiguation method, unknown word recognition,auto-segmentaion systems etc.and summarizes Chinese word segmentation’s research difficult points and hot points today.

This paper presents an overview of diversity in personalized recommender technology from three dimensions including the types of diversity, four methods to improve the recommendation diversification which contain information-physics, quadratic optimization, social networking, time-aware recommendation, and evaluated metrics of diversity. The prospects for future development and suggestions for possible extensions are as follows: novelty and diversity in mobile recommender systems, the mechanism analysis of internet-based information-physics in recommender systems, temporal diversity and the amount of computation in recommender systems and the effective combination of various recommendation algorithms.

[Purpose/significance] Studying the foreign research focused on the connotation, elements, models and frameworks of the data governance can provide clear plans and good suggestions for the development of data governance in China. [Method/process] Using the method of literature investigation and network investigation, the paper reviewed the current research situation of the data governance both at home and abroad. [Result/conclusion] The result shows that foreign data governance researches mainly focus on the theoretical exploration, models, frameworks and practical applications; while domestic researches focus more on the theoretical analysis, and less on the models, frameworks and other empirical research. Based on the existing research, this paper analyzes the types, characteristics, problems, challenges and opportunities of the existing data governance models from the perspective of connotation, elements, models and frameworks, and then puts forward some countermeasures and suggestions for data governance activities.

[Purpose/significance] This paper analyzes the data feature, acquisition method and application of Wikidata, in order to increase the number of Chinese open data sets and improve the frequency of association with foreign data sets. [Method/process] With the research methods of induction and comparison, this paper expounds the development history of Wikidata, analyzes its data characteristic and model, and then summarizes five methods to access data. [Result/conclusion] Wikidata has the characteristics of open collaboration, multiple languages and well-structured. The data model of Wikidata defines the entities and attributes based on its items. It also provides diversified data access methods. The application bases on Wikidata mainly refers five aspects, respectively the semantic retrieval, multilingual query, knowledge visualization, knowledge base building and virtual research environment.

Sentiment analysis studies on evaluative information, it has a wide range of application. Divided by granularity, there are three kinds of sentiment analysis, including word, sentence and document level sentiment analysis. This paper mainly focuses on the sentence level sentiment analysis. First describes its tasks briefly, then introduces the methods of sentence S/O classification and two ways of subjective sentence sentiment classification, finally summarizes three key problems of sentence level sentiment analysis: word contextual polarity disambiguation, topic identification and opinion holder identification.

The state of online public opinion as the most important index which can measure the social conditions and public opinion has caught more and more attention in managerial practices and academic research. Aiming at the  online public opinion which has complex object and action, hard predicting interactions relationships and hard measuring interactions degree, the authors present a new method which combine the dynamic Bayesian network modeling method to situation assessment of the  online public opinion basing on the three characteristic of dynamic Bayesian network——the expression ability of complex relationship, the expression ability of uncertainties of the probabilities, and the inferential capability of causal relationship. Through the study of expert experience and the simulating of key indicator data, we build the situation assessment model of the  online public opinion and forecast the situation assessment based on 60 cases.

China's internet public opinion appears some development trends such like that public opinion towards hot events rises quickly, a variety of online social thoughts contend, internet information management gradually enters into the track of legal construction, and the chain communication of social media has a trend of independence. Under the "trinity" work pattern, China's internet information opinion work forms the network operating system of longitudinal, transverse and cooperative. Under the new situation, the work of China's internet public opinion information is facing many challenges: poor-coordination of public opinion information, imbalance developments in public opinion work, inaccurate information analysis on public opinion, and lack of standardization of the judgement market. Therefore, this paper proposes to strengthen the political literacy cultivation of internet public players, improve the construction of work mechanism of internet public opinion, and expend its scientific research.

[Purpose/significance] Online Q&A communities have become a major way to access high quality knowledge. It is meaningful to explore the quality of the answer in the Chinese question and answer community which promotes the dissemination of knowledge.[Method/process] In this paper, we focused on the largest Chinese Q&A community-Zhihu. Data mining and machine learning, logistic regression, support vector machine and random forest algorithms were employed to build three classification models with three-level progressive training to predict the answer quality. Then we constructed a feature set including structured features, text features and social features.[Result/conclusion] The experiment results show that the performance of three classification models has been improved significantly with the continuous enrichment of the feature system. We find that the random forest model always shows better performance than other models in the same feature level. Moreover, by analyzing the different kinds of feature combination, the random forest model with social features always outperforms the models without social features, which reflects the value of the social attributes in the evaluation of the answer quality. We conclude that it is reasonable to evaluate the answer quality from the answer itself and the writer's social attributes. The feature system we build can reflect the quality of the answers in a comprehensive way.

[Purpose/significance]Users' perception of Fear of Missing Out (FoMO) in the mobile social media environment has gradually become a prevalent phenomenon. It is worth noting that the development of related scales is of great necessity to measure the extent of FoMO of mobile users. So far, there are few, if any studies have explored the measurement scale of FoMO in Chinese context. To address the research gap, this study aims at developing a FoMO scale in the mobile social media environment.[Method/process]In this study, based on the prior research of FoMO and related terms, the paper aimed to develop a measurement scale on FoMO by the survey method and the interview approach. In particular, a mixed method research with the expert interview, Exploratory Factor Analysis (EFA) and Confirmative Factor Analysis (CFA) was employed for the scale development.[Result/conclusion]Finally, this paper finalized the measurement scale of FoMO in the mobile social media environment, which includes four dimensions and sixteen indicators. The four dimensions are psychological motivation, cognitive motivation, behavioral performance and emotional dependence. The scale indicates a good reliability and validity, and it can yield some implications for the future research on adoption and the use of mobile social media.

The development of new media technology brings internet communication mode undergoing profound changes, which include that communication subjects and audiences converge, communication channels and methods vary, traditional communication process is changing. It also takes the deep changes of internet public opinion, including that individual becomes the formation and diffusion center of internet public opinion, the government "gatekeeper" functions are severely impaired, and the right abuses to communicate and "internet series protesters" appear. Information work of internet public opinion faces some great challenges, such like that the amount of information collection is huge, the difficulty of information analysis enhances, the time for internet public opinion early warning is shorten, dealing with internet public opinion becomes more complicated.

Based on the development process of probability topic model and basic principle of its representing model-LDA, this paper analyzes the characteristics of LDA and advantage of microblogs network text mining. Then it introduces and comments the existing text topic modeling methods based on LDA in microblogs environment, and compares their expanded mode and modeling effect.Finally it prospects the development direction of microblogs text topic modeling.