An Empirical Study On The Microblog Community Transmission Mechanism And Social Network Structure

In order to more fully use the microblogging platform to the promotion of science information, using actual operational data of the Digital Science and Technology Museum microblogging platform, in-depth study of the propagation characteristics of the microblogging and social network structure, and problems found in the study, a micro Bo operations improvement program.In this paper, taking a literature survey, statistical analysis, network measurement, law, social network analysis and other research methods. The microblogging different angles of analysis and research to try this a full range of general observation and analysis.I mainly use the method of statistical analysis using SPSS software, combined with Lasswell on the five elements of communication theory to analyze the mode of dissemination of information on the Digital Museum microblogging. The analysis showed that the delivery channels of the Digital Museum microblogging increasingly dependent Sina microblogging traffic diversion has been the user of mobile terminal usage gradually increased. The empirical analysis shows that the characteristics of the user’s microblogging users concerned about the number of the Digital Museum, the number of fans, hair Bo Wen number, frequency distribution, in line with the power-law distribution characteristics. In addition, the user number of microblogging and forward, microblogging number and the number of fans, concerned about the number and the number of fans and other related analysis.This article focuses on the social network structure in the China Digital Science and Technology Museum microblogging community. UCINET software to map out the network structure; the center of the node in the network, including degree centrality, betweenness centrality, closeness centrality measurement, and to quantify the influence of the user in the dissemination of information based on measurement results measurement and analysis; on the average distance and clustering coefficient of network nodes; users on the network in accordance with the core-periphery structure analysis and sorting; network cohesion subgroup analysis, the statistics of the sample data of the Chinese Communists found subgroup of13nodes scale greater than or equal to7.In this paper, the results of the analysis of the social networking microblogging community, will contribute to the operation and promotion of the Digital Museum of microblogging. Planning, planning, part construction to provide data to support the activities of the Digital Science and Technology Museum website. The same time, the research methods learned in the creative process of this article, the experience gained and results can also be transformed into the marketing of the enterprise microblogging microblogging marketing applications.