2022年北京冬奥会网络关注度时空变化特征及其影响因素分析

Temporal and Spatial Characteristics of Online Attention for 2022 Beijing Winter Olympics and its Influencing Factors

基于全国31个省(自治区、直辖市)的百度指数,运用全局空间自相关、局部空间自相关、地理探测器等方法,分析2022年北京冬奥会网络关注度时空变化特征及其影响因素。结果表明:(1)时间层面,北京冬奥会网络关注度整体呈现为凸型波动双峰曲线。(2)空间层面,北京冬奥会网络关注度空间分布呈集聚态势,表现为高关注度与低关注度省域在空间上显著聚集,冷热点格局则以“胡焕庸线”为分界,呈现出“东高西低”的空间特征分布差异。(3)北京冬奥会网络关注度时空分布主要受经济发展水平、互联网普及率及体育发展水平因素的影响。三大因素所包含的9个探测因子对北京冬奥会网络关注度表现出不同程度的解释力,任意2个因子进行交互探测表现为不同程度的双因子增强或非线性增强结果。

Based on the Baidu index of 31 provinces(autonomous regions and municipalities)across China,global spatial autocorrelation,local spatial autocorrelation,and geodetector were used to analyze the temporal and spatial change characteristics of network attention to the Beijing Winter Olympics in 2022 and its influencing factors.The results show that:(1)At the time level,the overall network attention of Beijing Winter Olympics shows a convex fluctuation bimodal curve;(2)At the spatial level,the spatial distribution of the Beijing Winter Olympics network attention is in the form of agglomeration,which shows that the provinces with high and low attention are significantly clustered in the space,and the cold hotspot pattern is divided by the“Hu Huanyong Line”,which shows the spatial characteristics of“high in the east and low in the west”;(3)The spatial and temporal distribution of Beijing Winter Olympics online attention is mainly influenced by the economic development level,internet penetration rate and sports development level.The nine probes contained in the three factors show different degrees of explanatory power for the online attention of the Beijing Winter Olympics,and the interaction probes of any two factors show different degrees of two-factor enhancement or non-linear enhancement results.