【摘要】 随着互联网和智能移动通信的发展和普及,舆情在线爆发的频率更高,影响巨大。本文首先研究了网络群体事件的性质,并通过案例分析从宏观和微观角度推导出网络群体事件的演化因素。然后,基于互联网舆情的历史数据,采用最小二乘多项式拟合来预测民族地区互联网舆情的演变。最后,针对少数民族地区舆情的特点,结合大数据时代的具体环境,提出了民族地区网络预警和防控机制的几个方面。更多还原

【Abstract】 With the development and popularization of the Internet and smart mobile communications, the frequency of public opinion online outbreaks is even higher and the impact is huge. This paper first studies the nature of the network mass incidents, and the evolutionary factors of network mass incidents are derived from the macro and micro perspectives through case analysis. Then, based on the historical data of the Internet public opinion, the least squares polynomial fitting is used to predict the evolution of the Internet public opinion in ethnic regions. In the end, aiming at the characteristics of the public opinion in the ethnic minority areas and combining with the specific environment in the era of big data, several aspects of network early warning and prevention and control mechanisms in ethnic regions are proposed.更多还原