SNA-based Visualized Study On Knowledge Aggregation Of Digital Library Resources

In the Internet era, in order to "PB" (1PB=1024TB) of the number of units of unstructured and structured data with the development of SNA social networking platform, network public opinion media, mobile communications, e-commerce is growing at an explosive expansion of the form coming to us, along with traditional information technology upgrade, artificial intelligence, semantic web, geographic mapping, polymerization techniques, visualization techniques in Web3.0 mode has become increasingly prominent in distributed, heterogeneous and cumbersome digital world community network visualization in a systematic, correlation, semantic, personalized features combined with social network analysis and the dual advantages of visualization technology transformation to the knowledge resources of information resources, information organization transformation to a knowledge organization, information and services plays an important role in the knowledge service transformation. With the integration of digital library knowledge organization to carry out polymerization, social network visualization in a clear and visually dynamic interactive social networking is driving the digital library knowledge organization and service discovery and excavation of the polymerization level of knowledge, knowledge search and navigation, knowledge transfer and dissemination, knowledge sharing and recommended efficient implementation.Through the use of social network analysis theory and visualization technology polymerization from a knowledge point of view of the digital library collection resources of domain knowledge development, knowledge network building and knowledge of the visual presentation, to build collections of digital resources knowledge aggregation of social network visualization model for digital books polymerization and depth of knowledge to achieve user Pavilion knowledge retrieval and navigation needs and services provide a theoretical basis, thematic studies on the collection of knowledge for the polymerization of LIS provide a reference for scholars, for the development of digital library knowledge resources, knowledge and intelligence service organizations to provide assistance to further advance the transformation and upgrading of wisdom Library. In this paper, build DLRs-KA social network visualization model as the goal, according to the theoretical basis of the model assumptions to empirical research writing process, combining quantitative and qualitative analysis, from the following aspects of the specific research.First, a comprehensive knowledge economy, information technology, big data, knowledge organization, knowledge and wisdom library service development background and social network analysis, knowledge aggregation, knowledge visualization, knowledge organization and other elaborate theoretical basis of digital resources and collections at home and abroad polymerization knowledge Research on the status quo in order, investigate the significance of this study theme, the value and viability, and build and empirical analysis provides a theoretical basis for the later models;Secondly, on the basis of the existing collection of digital resources polymerization visual mode of analysis, combining social network analysis and visualization dual character, from the construction principle and mechanism analysis of two angles DLRs-KA social network visualization model building for policy formulation, and from roughly blueprint framework design and evolution path planning model, and finally from the knowledge of the data layer, the network layer of knowledge, knowledge visualization layer and application layer of the knowledge-based social network analysis DLRs-KA visualization model is structured hierarchically and analysis;Again, use Ucinet social network analysis and knowledge mapping Citespace two software functions and social network analysis and visualization to show the level of cross-application functionality, the model is empirical analysis. On the one hand, by constructing author, institution and country collaboration knowledge network system, and analyzes the core authors DLRs-KA group, the core group of institutions, groups of potential cooperation and internal cooperation groups; on the other hand by authors, keywords and keywords, etc. knowledge resources associated property features two-mode analysis, the use of keywords, keywords, subject of co-occurrence analysis and periodicals, keywords and keywords co-citation analysis reveals DLRs-KA research focus, discipline themes, and cutting-edge research core journals, knowledge retrieval for users with high-quality knowledge resources; in addition, the use of SNA 3-mode analysis to correlate the dimensions collection of digital resources to expand the knowledge of the polymerization studies, using Citemspace of GoolMap and Fish-eye function collections of knowledge resources visualize been presented time and space to expand research to deepen DLRs-KA from the longitudinal and transverse cross-sectional face angle breadth and depth, to better promote knowledge retrieval, knowledge navigation, knowledge and recommend personalized knowledge services to better meet the user’s knowledge needs;Finally, the polymerization-based collection of digital resources Knowledge of social network analysis and visualization techniques are summarized, and for the structure and content of the entire article is presented herein in DLRs-KA social network analysis of defects and deficiencies visualize the realization of the main there are two things:one is the lack of research due to the model of the technology itself caused the defect, on the other hand is not on DLRs-KA effective evaluation results visualization; based on the presence of defects and study combined DLRs-KA social network analysis visualization trends in the field of research, this paper presents relevant DLRs-KA social network analysis visualization of future research trends.