Institute of Computational Social Science, Shandong University, Weihai, China.
Engineering Department, Cambridge University, Cambridge, United Kingdom.
PLoS One. 2018 Jul 2;13(7):e0199510. doi: 10.1371/journal.pone.0199510. eCollection 2018.
The literature of social class and inequality is not only diverse and rich in sight, but also complex and fragmented in structure. This article seeks to map the topic landscape of the field and identify salient development trajectories over time. We apply the Latent Dirichlet Allocation topic modeling technique to extract 25 distinct topics from 14,038 SSCI articles published between 1956 to 2017. We classified three topics as "hot", eight as "stable" and 14 as "cold", based on each topic's idiosyncratic temporal trajectory. We also listed the three most cited references and the three most popular journal outlets per topic. Our research suggests that future effort may be devoted to Topics "urban inequalities, corporate social responsibility and public policy in connected capitalism", "education and social inequality", "community health intervention and social inequality in multicultural contexts" and "income inequality, labor market reform and industrial relations".
社会阶层和不平等的文献不仅具有丰富的多样性和洞察力，而且在结构上也复杂且分散。本文旨在绘制该领域的主题景观，并确定随时间推移的显著发展轨迹。我们应用潜在狄利克雷分配主题建模技术从 1956 年至 2017 年间发表的 14038 篇 SSCI 文章中提取了 25 个不同的主题。我们根据每个主题的独特时间轨迹，将三个主题归类为“热门”，八个主题归类为“稳定”，14 个主题归类为“冷门”。我们还列出了每个主题的三篇被引频次最高的参考文献和三个最受欢迎的期刊。我们的研究表明，未来的研究可能集中在以下主题上：“城市不平等、企业社会责任与连接资本主义中的公共政策”、“教育与社会不平等”、“多元文化背景下的社区健康干预与社会不平等”以及“收入不平等、劳动力市场改革与产业关系”。
