基于百度指数的汉服网络关注度分析

Hanfu network attention analysis based on Baidu index

基于2015—2020年百度指数平台,以“汉服”为检索词条获取数据,利用离散系数等指标来探究网络用户对汉服的网络关注度,据此分析时间、空间两个维度的特征。总结归纳出影响汉服网络关注度的因素并据此提出针对性的对策建议,有利于加深大众对传统服饰文化深层次理解,从而科学、理性地对传统汉服服饰文化进行传承。

Based on the Baidu index platform from 2015 to 2020,takeing“Hanfu”as the search term to obtain data,the network attention of network users to Hanfu was explored by indicators such as discrete coefficient,and the characteristics of two dimensions of time and space were analyzed.The factors that affect the network attention of Hanfu were summarized,and targeted countermeasures and suggestions accordingly were put forward,which was conducive to deepening the public's deep understanding of traditional clothing culture,so as to scientific reasonably inherit the traditional clothing culture of the Hanfu.