[Objective] By building a mathematical model, this paper studies the information interaction between micro-blog and other network media under the background of big data. [Methods] Analyze the information interactive features of micro-blog public opinion, define the information interaction coefficient, and establish the differential equation model of micro-blog information interaction. [Results] Using Matlab numerical simulation and six cases of network public opinion to analyze the feature of the model and validate the model, it is concluded that to build information interaction mechanism is the key for the government to response network public opinion under the background of big data. [Limitations] The research only builds the regular model of micro-blog information interaction, not considering the situation when the negative public opinions like Internet rumors spreads rapidly and widely. [Conclusions] The results can help the government take measures when facing complex micro-blog public opinion, and also provide some references for the further research on information interaction problem of public opinion.
兰月新, 董希琳, 苏国强, 瞿志凯. 大数据背景下微博舆情信息交互模型研究[J]. 现代图书情报技术, 2015, 31(5): 24-33.
Lan Yuexin, Dong Xilin, Su Guoqiang, Qu Zhikai. Research on Micro-blog Public Opinion Information Interaction Model Under the Background of Big Data. New Technology of Library and Information Service, 2015, 31(5): 24-33.
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