论文标题：The structure of L2 lexical-semantic networks as seen from a social network perspective

发表期刊：International Review of Applied Linguistics in Language Teaching (SSCI)

文献信息：Feng, Xuefang and Liu, Jie. 2021. “The structure of L2 lexical-semantic networks as seen from a social network perspective” International Review of Applied Linguistics in Language Teaching. 链接: https://www.degruyter.com/document/doi/10.1515/iral-2020-0181/html

内容简介：该论文用社会网络分析方法分析了中国学生英语词汇语义网络的结构，探索了单词节点中心性与单词习得时间、单词频率以及语义特征之间的关系。研究结果既可以促进对二语词汇表征和加工的理解，也可以对二语词汇教学提供指导。另外，该研究所使用的跨学科的方法具有较好的创新性，可以借鉴于二语习得研究的其他方面。

论文摘要：This study employed a social network analysis tool to investigate the organization of L2 lexical-semantic networks. A total of 49 Chines EFL learners of English completed a semantic fluency task in English. A lexical-semantic network was established on the data collected from the semantic fluency task. We conducted a CONCOR analysis to distinguish the central words from the peripheral ones in the lexical-semantic network. The relevance of three distributional features to the centrality of the words in the L2 lexical-semantic network was examined respectively. In addition, we analyzed the general explanatory effect of each of the three features on centrality. The results based on the distributional features are significantly correlational and report positive explanatory effects. In addition, words of similar distributional features were found to connect in a way that reflects semantic feature effects. Finally, theoretical, methodological, and pedagogical implications of the findings were discussed.