Research On Dissemination Model Of Scientific And Technological Innovation In Social Media

In the field of Library and information science,the research object of science and technology innovation dissemination in social media mainly refers to the knowledge,technology,method and application recorded by literature.Today,the storage and dissemination of scientific and Technological Literature innovation achievements has entered the Internet Era.,and research on communication of scientific and technological innovation in social media has become a hot topic in Information Science Research.However,previous studies mainly focused on the dissemination data of innovative achievements in a single document,focusing on quantitative statistical research,neglecting the heterogeneity of users,understanding of the dissemination relationship among different types of users insufficiently.In addition,the characteristics of the dissemination life cycle and the structure of the dissemination network in the subject area of scientific and technological innovation need further detailed analysis and interpretation of.Therefore,based on sociological theory and complex network theory,this study will explore the multi-dimensional mode of science and technology innovation communication,in order to provide support and reference for science and technology information research and service.The main research contents including:1.To sort out the relevant theories and models,and make a summary and analysis of the related research progress.2.By dialectically expounding the interaction mechanism from bottom to top through the two-way feedback cycle of the communication network between individual construction and social construction,based on constructivism theory and selforganization theory,constructing the cooperative construction framework of science and technology document dissemination network.Finally,the rationality of the framework is verified by an example.3.Based on content analysis method,user types are coded to identify user communication behavior and emotional characteristics.In order to make up for the one-sidedness of traditional alternative measurement research,this study will visualize and analysis different types of users' communication relationship and identify their communication role.4.Based on the life cycle theory,this paper will analysis statistically of the scope of the technological innovation and the characteristics of the propagation cycle.In order to provide the basis and reference for the prediction of scientific and technological innovation dissemination,this paper will analysis the changing process of the whole cycle of the transmission flow,the curve regression equation will be constructed to approximate its transmission popularity,and then the trend of its transmission popularity will be analyzed.5.Based on the modular algorithm of Louvain Modularity and FruchtermanReingold,construct the innovation theme domain communication network.The network structure parameters are extracted to analyze the dissemination effect and dissemination ability of the technology innovation dissemination network.Therefore,the one-sidedness of the research results of single innovation dissemination network will be compensated.The main conclusions of this study are as follows:(1)Dissemination relationship and user interest are interactive and co-evolutionary.On the whole,the dissemination network presents a bottom-up process of self-organizing construction.(2)The leader of the dissemination is the research user,the participation of journals,magazines and news media is also higher.Different types of users play different communication roles and have poor information interaction ability.The dissemination and dissemination is mainly based on his form of transmission,and it is easy to be manipulated by humans.(3)Scientific and technological innovation communication is explosive and shortcyclical,and the initial monthly flow accounts for more than 75%,which has a predictive effect.The popularity curve of science and technology innovation dissemination is S-type and power-law distribution.(4)The technology innovation dissemination networks are star-shaped structures,with a wide range of dissemination and insufficient dissemination depth.The network density is very low,the network connectivity is poor,and technological innovation is difficult to spread freely among any users.This study considers that in the process of social media technology innovation communication,it is necessary to strengthen the communication relationship between users and establish a stable and sustained communication network path.At the same time,in order to expanding the impact of scientific and Technological Literature innovation achievements in education,society,academia and other aspects,properly increasing the number of influential source users,promoting information dissemination and interaction among different types of users,and improving the role of scientific popularization of popular science users can improve the depth and breadth of dissemination of high-tech innovation in social media.The initial monthly communication flow can be used to judge the communication flow of the whole cycle of scientific and technological innovation,and provide support for the prediction and evaluation of scientific and technological innovation communication.In order to promote the continuous dissemination and popularization of scientific and Technological Literature Innovation achievements,authoritative users can be encouraged to actively participate in the dissemination in the initial month of dissemination,thereby improving the traffic of forwarding dissemination.The significance of this research lies in expanding the theory and method of information science from the theoretical level,introducing complex network analysis theory and sociological theory into the process of science and technology innovation dissemination.The method of this paper can make up for the shortcomings of the traditional simple mathematical statistics method,the ideas or methods of data collection,data analysis and design methods in the study can provide reference for other studies.In practice,it will provide support for the prediction and evaluation of scientific and technological information,and provide a more perfect theoretical and practical basis for research institutions,government departments and enterprises involved in the formulation of scientific and technological information strategies and policies.The paper contains: 46 maps,20 tables and attached 2 tables.