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可持续服装消费热点情报分析

Analysis of Sustainable Clothing Consumption Hotspots
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摘要 为了解可持续服装现状,针对可持续服装消费热点进行社会网络分析,利用TEXTOM系统对数据进行预处理,并运用UCINET程序执行CONCOR分析,同时使用Gephi实现高频词汇共现网络可视化。获得以下研究结果:1)CONCOR分析形成“可持续服装消费生态环境”、“可持续服装发展趋势”、“可持续服装生态价值”、“可持续服装消费热点”4个集群;2)可持续服装消费问题涉及经济、生活、科技等方面;3)大众对可持续服装消费中“绿色”的关注度较高;4)可持续服装政策导向明确。 In order to understand the current situation of sustainable clothing,this study conducted social network analysis on sustainable clothing consumption hotspots,using the TEXTOM system to pre-process the data,the UCINET program to perform CONCOR analysis,and Gephi to visualise the co-occurrence network of high frequency words.The research results are:1)CONCOR analysis reveals four clusters,“sustainable clothing consumption ecological environment”“sustainable clothing development trend”“sustainable clothing ecological value”,and“sustainable clothing consumption hotspot”;2)sustainable clothing consumption issues are involved in the economy,life,technology and other aspects;3)the general public is more concerned about the“green”aspect of sustainable clothing consumption;4)the policy direction for sustainable clothing is clear.
作者 水圣杰 姬成烨 SHUI Sheng-jie;JI Cheng-ye(Department of Fashion Design,Tong Myong University,Busan 48520,South Korea)
出处 《北京服装学院学报(自然科学版)》 CAS 北大核心 2023年第1期98-104,共7页 Journal of Beijing Institute of Fashion Technology:Natural Science Edition
基金 中原工学院教学改革研究与实践项目(2022ZGJGLX109)。
关键词 可持续服装 服装消费热点 社会网络分析 大数据 TEXTOM sustainable clothing clothing consumption hotspot social network analysis big data TEXTOM
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