Research Of Online Knowledge Transfer Based On Complex Network

Under Internet's function, the knowledge transfer's online behavior appears more intense effectiveness, more redundancy and the decline of'running water effect'compared to the traditional knowledge transfer. With these characteristics' influence, the individual is easier to join the knowledge transfer behavior, so that the increasingly large number of individuals join in it, the relations become more and more complex. Using the complex network theory, it's easier to visualize online behavior of knowledge transfer, which facilitates the research. The main content of each chapter is as follows, through the research literature at home and abroad.⑴Analysis of knowledge shift online behavior evolved originThis part analysis the knowledge transfer evolution from the two aspects which are the relevance of Knowledge transfer evolution and industrial development, the advantage of Knowledge transfer networks. It also introduces the constitution, the characteristic and the evolution path of complex online knowledge transfer network.⑵Operation characteristics of knowledge meta, knowledge chain and knowledge net①The online game process of knowledge meta in complex network .Simulating online the game process, it describes the different game choices, and calculates the break-even point, under the background of complex online network.②The transfer process of knowledge chain in complex network. From the society exchange theory angle, it get the Actuation mechanism of pull and drive, also finds the Influencing factors of pull and drive.③The diffusion process of knowledge net in complex network. Based on the SIR model, the hierarchical diffusion patterns are proposed. This part also analyzes the dissemination price and the efficiency of this process, and has carried on the detailed explanation to the network dissemination's degenerative process.⑶Reality measure of complex online knowledge transfer network Using the complex network theory, the online real dates are analyzed. It is hoped to provide practitioners some reference, through the calculations of knowledge meta, knowledge chain and knowledge net.①Through the centrality measure, it gets the important game node to protect and use. ②Through the equivalent measure, it gets the alternative node to reduce the damage to the organization when suffers attack causes .③Through the substructure measure, it gets the subgroup to predict the damage produced by the remove of small groups.