Studies Of The Correlations Of Academic Resources In Network Communities

One important source of academic research innovation is the mixture and cross of different disciplines. Faced with enormous data, academic research communities shifted from physical and normal ways---colleague discussions, meetings, papers, et al.---to such virtual and informal ways as the Internet, BBS, Virtual Communities, and so on. In recent years, academic social network had developed rapidly, and social network had been applied in the academic fields for much wider usage. According to the statistical data from Datatang, a famous sharing platform in China, there have been more than100academic social networks in China, and the number is still in growing. Some famous academic social network sites are listed but not limited as the Peerage of Science, CNKI community, ResearchGate from Harvard University, Academia.edu, and so on. With the development of Web2.0, the organization methods of information had changed dramatically. Different from the traditional authority-controlled organization mode, it had become popular that each member of the network community commits his own wisdom and energy to the community in the network context. In the social network, academic researchers had correlations with others in many ways, such as affiliations, disciplines, communications system, and academic activities. Weak ties that cross over the physical areas, disciplines, ranks, status, nationalities limits have shown their priorities in the network communication, because such kinds of communication ways seemed to be more instructive and thus more effective for academic innovation.In order to effectively organize and reveal the correlation information that are widely existed in the network communities, and to make the organization methods of information more suitable for the academic innovation requirements, it’s necessary to probe into the organization mode of network academic communities. The result of the research is also useful for the product and services design for community-related enterprises.The research was conducted based on the theory of social network, the complex network theory, association mining, and so on. Different kinds of academic researchers are considered as a whole to analyze the characteristics and their academic information requirements and behaviors, organization mode of the relevant information are constructed, and the control mechanism of information organization was analyzed, which formed the theoretical and methodological base of the research.After analyzing the influence of the social communities on the academic communications, the characteristics of information requirement and the mode of information behavior were summarized, forming the foundation of the organization mode being constructed in the next chapter. There were two flows in a network community, one was the information flow, and the other one was human relationship flow. The theory framework in a whole was constructed based on this concept. The organization of community information was viewed as a two-layered net, with the information resources network laid under the human relationship network. The information flow circling in the information network and the relationship flow lying in the social communities interweaved with the information activities. The two networks took on an upward spiral pushed by the other force----network technology. Along with the development of time and information technology, the information linkage and human relationship were pushed from primary state to secondary state and sophisticated state finally. The three kinds of states were differed in types, range, complexity, dynamics and integrity.In order to test the theoretical mode presented above, empirical study was conducted, taking the academic information blogosphere of Sciencenet and Sina for examples. The experimental result verified the theory.In order to organize the community information in an effective, convenient and high-quality way, it was suggested that the role of academic community leader, member participation, relationship construction, the discovery of academic interest, and the control on the academic information quality be considered.As for the implementation of correlations, traditional information organization methods such as classification and subject analysis were remained useful for organizing information in the communities. Furthermore, these methods had been developed to be suitable for the new objects. Social collaborative tagging were described and analyzed as the new organization method in social network.The innovations of the thesis were as following:first, the research extended and enriched the dimensions of relationship analysis on the basis of the existing research. Secondly, the thesis built an integration model for academic resources relationships in network communities, and found the spiral rising trend of the academic resources. Thirdly, the thesis put forward the running mechanism and implementation strategies of the academic resources correlations. The conclusions of the thesis had some guiding function for the practice of enterprises which had been intended to construct or manage network communities.