| In recent years,with the popularization of big data,the enthusiasms of netizens to participate in social management through Internet are running higher and higher.Based on those theories of information science,researchers can adopt social network theory to serve the financial research.The nature behind various diffusion phenomena in real social systems is that heterogeneous individuals,being exposed to the impacts of media information and other individuals in the social network,adjust their behavior by continuous learning and interactions.Exploring the mechanism and evolution of overconfidence in financial social network will contribute to predict,judge,interference and control the trend of the price volume so that we can provide more effective and feasible management strategy for solving the problems in stock market or other financial fields.If we treat the decision makers in social network as vertexes and the interactive relationship between them as lines,the integrated environment of behavior diffusion can be regarded as social network.The present study attempts to explore the evolutionary rules of overconfidence diffusion mechanism from the perspective of complex social network.Firstly,grounded in a systematization of the theoretical foundation of overconfidence and individual behavior decision influenced by this irrational phenomenon in social networks,the present study discusses how this phenomenon emerges and transmits.Secondly,this present study builds up a mathematic model from the consideration of individual's heterogeneity on the micro level,and offers some hypothesis;Afterwards,an empirical study based on the data of SSE(Shanghai Stock Exchange)Composite Index in 2016.8 is made to proof those hypothesis,besides,those hypothesis is also proved by a psychological experiment.Last but not least,the present research develops the simulation system,processes and analyzes corresponding data to verify the effectiveness of above mentioned model. |
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