网络场域、文化认同与劳工关注社群:基于话题模型与社群侦测的大数据分析

Abstract

Abstract:

The Weibo platform is a social space for interaction and expression. It requires scholars to simultaneously examine communication patterns and communicated content among Weibo users. Based on theories of "network and culture" and relational sociology,this article contends that network fields and the communicated cultural meanings are mutually constituted. The author used Latent Dirichlet allocation(LDA)topic model and social network analysis techniques to examine 51 288 Weibo posts published by users concerned for labor rights. This article reveals the relationship between community structures and community focal topics. Specifically,the result of LDA topic modeling shows that the focal topics regarding labor issues can be categorized into four groups,namely workers' culture and welfare,predicaments and problems,strikes(rights defending actions)and labor organizations,social institutions,and labor rights. Analysis of interaction patterns among users resulted in five major online communities. Based on the primary topics within communities,these five communities could be labeled as:community for workers' homes in cities,community for workers' culture,community for workers' rights protection actions,community for workers' rights and interests,and community for labor institutions. The results also showed two new trends in relation to labor issues:for one,labor culture and its integration into urban life have garnered increasing online attention with the growth of new generation workers;for another,the Weibo platform provides an interaction channel for labor researchers and labor NGOs,and such interaction facilitates the latter to critically reflect the current conditions or plights of workers from an institutional/structural perspective. This article concludes with a discussion about the significance of utilizing big data analytics to study online culture and social mentality.

HUANG Ronggui. Network Fields,Cultural Identities and Labor Rights Communities: Big Data Analytics with Topic Model and Community Detection[J]. Chinese Journal of Sociology, 2017, 37(2): 26-50.

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Network Fields,Cultural Identities and Labor Rights Communities: Big Data Analytics with Topic Model and Community Detection

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