Identifying Topics in the Community Related to Women's Fashion Magazines Using the Topic Model

In recent years, with the increase in the use of SNS to gather fashion-related information, a fashion-related consumer community has formed on SNS. On the other hand, the demand for women's fashion magazines is on the decline, print content that integrates with SNS is required. In this study, we aim to propose a framework that supports the planning of a fashion magazine that takes into account the consumer community. Specifically, we used data on official accounts of women's fashion magazines collected from X (formerly Twitter) to identify communities through social network analysis. In addition, we attempted to clarify the topics related to each community by performing natural language processing analysis on the post contents which are text data.